Salaries: ML / AI

Job Description We are seeking a highly motivated and visionary individual to join us as a AI & Cloud Development Engineer. In this pivotal role, you will be instrumental in spearheading the introduction, development, and robust establishment of Google AgentSpace within the Bosch Group. You will be the driving force behind the creation and implementation of cutting-edge AI-powered solutions that optimize our processes and enable new business models. This position demands not only outstanding technical expertise but also a strong entrepreneurial spirit and the ability to think innovatively beyond conventional boundaries. Your Responsibilities: - Strategic Integration: You will play a leading role in conceptualizing and implementing the strategy for integrating Google AgentSpace into Bosch's existing IT infrastructure and application landscape. - Architecture & Development: Design, develop, and implement scalable AI applications and services leveraging Google Cloud Functions, Google AgentSpace APIs, and other relevant Google Cloud Platform (GCP) services. - Python Expertise: Utilize your deep proficiency in Python to build robust and efficient backend systems, AI models, and data pipelines. - API Development & Integration: Be responsible for developing and deploying high-performance APIs, ensuring seamless integration with internal and external systems. - AI Model Implementation: Collaborate closely with Data Scientists to transition AI models into production-ready applications and optimize their performance. - Cloud Operations & MLOps: Ensure the smooth operation, scalability, and maintainability of developed solutions, adhering to best practices for cloud infrastructure, MLOps, and DevOps. - Mentoring & Knowledge Transfer: Actively share your expertise with colleagues, contributing to the establishment of an internal center of excellence for Google AgentSpace and AI. - Proactive Innovation: Independently identify new use cases and potentials for Google AgentSpace within the Bosch Group and drive their implementation. Qualifications - Exceptional Python Proficiency: Fluent in Python with extensive hands-on experience in developing complex applications, scripts, and production-grade systems. - Deep AI Understanding: Solid understanding of Machine Learning, Natural Language Processing (NLP), and the architecture of AI systems. Practical experience with AI agents, conversational AI, or generative AI models is a significant advantage. - Google Cloud Platform Expertise: Proven experience in developing and deploying applications on GCP, specifically with Google Cloud Functions, Google App Engine, Pub/Sub, Firestore/Cloud SQL, and relevant AI services (e.g., Vertex AI, Dialogflow, Gen AI APIs). - API Development Acumen: Experienced in designing, developing, and managing RESTful APIs, with a strong grasp of API design principles, security, and versioning. - Cloud Functions Specialist: Practical experience in implementing, deploying, and managing serverless functions is essential. - Strong Entrepreneurial Mindset: You think and act like an entrepreneur, are solution-oriented, identify opportunities, and are willing to take calculated risks to realize innovative ideas. - Proactive and Results-Driven Mindset: A self-starter who actively embraces challenges, demonstrates initiative, and consistently delivers tangible results. - Excellent Communication Skills: Ability to clearly and persuasively communicate complex technical concepts to diverse audiences. - Team Player: Thrives in a collaborative, interdisciplinary team environment and actively contributes to collective success. Additional Information #LikeABosch Benefits: Financial benefits: - Flexible benefits system – In addition to your salary, we provide 2700 RON/year through your benefits account, allowing reimbursements based on your preferences; - Meal tickets - A balanced diet includes at least one hot meal per day, therefore we offer you meal tickets with a value of 40 Ron; - The company performance related pay - Your contribution to Bosch is valuable. Celebrate a successful year with the company performance related pay; - Celebrate together - We Like to give presents to our Loved ones, therefore we offer you 300 Ron for Christmas and Easter. Your minor children will enjoy this benefit too, as they will also receive 300 Ron; - Loyalty bonus: We value your commitment and at 5 years you will receive 750 RON, at 10 years 1500 RON, and for every additional 5 years brings another 1500 RON. It’s our way of saying thank you for being part of our journey. - Language courses - A new language is key to a new world, so we invite you to learn languages in your free time and get a discount of up to 1200 RON/year (e.g.: two modules of 600 RON each). Please note that the discount is based on the certification that you have passed the specific module. - Referral bonuses - We build our teams on trust, so we encourage you to refer new candidates to us through our program: Recommend Bosch. For certain positions, we will honor you with an attractive bonus; - Relocation package - If you’re being recruited from more than 50 km away, we provide a standard relocation package of 2500 RON (conditions apply). This is a one-time fee, paid together with your first salary. - Life events celebration - Your family is growing while working at Bosch? We congratulate your newborn with a 5000 RON bonus; - Unforeseen situations - In case of unfortunate events, we support you by offering you free days and financial support (handled on a case-by-case basis); - Discounts to our partners - We have a strong network in our community so we can offer you discounts to various businesses such as ISHO, Vodafone, and others. Work-Life Balance: - Smart Work – Our working contracts are standardized to include the home office. Occasionally, you might be asked to come to the office (trainings, workshops, team events). Talk to your leader for more information. - Flex-time possibility - We care about your schedule, therefore we try to offer you flexible working hours, according to personal and business needs. Please discuss this with your leader. - Growing number of vacation days - Work-life balance is essential for us, therefore we offer you 1 more day of vacation for every 2 years you spend in Bosch. We start with 25 days. - Internal communities - You are welcome to become an active member of our internal communities: Trainers Community, Wellbeing Community, Quality Ambassadors, Project Management Ambassadors, IT Community, and many others; - Work from abroad: Do you want to work a few days from abroad? Our Smart Work concept allows you to work from outside Romania for up to 30 days per year. Conditions apply. Please contact HR for support. Health and sport: - Medical subscription - We know how important health is, so you get a medical subscription through the Regina Maria network, paid by the company—extended package of medical tests, free or reduced ultrasounds, and consultations. - Sports benefits - Being active helps you in your personal and professional Life, so we encourage you to stay in shape by using the 7Card discount for Smartfit Studio; See also: flexible benefits; - Psychological counseling -Through the medical subscription, you can benefit from several free psychological counseling sessions at Clinicile Oana Nicolau and at a discounted price afterward. Development: - Bookster- the road to self-improvement is paved by books. Borrow the books that interest you and your family through the Library that comes to your office (and your home). - Training and certifications -We believe in a Life-Long Learning approach, so we invite you to take part in technical and soft skills training delivered by our internal training team and through other methods. - Professional Development - Great opportunities to develop yourself within the company. Choose between different career paths: expert, project manager, or associates manager. Whether an upward or lateral move – we’ll be by your side. - Team-buildings - We organize yearly team-building activities for your department, so you get to know each other and build trust among your peers; - International Assignments - You can work on international projects with and in other Bosch Locations, as we have offices in more than 60 countries worldwide; - Diversity and multicultural mindset - More than 10 different nations are represented and several Languages are spoken by our colleagues. Diversity Day is a special day dedicated to sharing our diverse cultural experiences. Company Description About Bosch Service Solutions in Timișoara Bosch Service Solutions is a leading service provider of enterprise and IT solutions. It designs and provides best-in-class services, including software-based solutions, consulting and management, AI, automation and customer experience. We’re on a mission to exceed customer expectations and continually elevate industry standards. Our colleagues contribute to this mission through their commitment, in an environment where diversity is valued and where everyone can bring their own contribution. Our promise to our colleagues is rock-solid: we grow together, we enjoy our work, and inspire each other. Join us and see the difference. Work #LikeABosch

Our Consulting team at BearingPoint is dedicated to optimizing client business operations through advanced ERP and CRM systems. With deep expertise in SAP across various domains like finance, logistics, data, and technology, we streamline processes and enhance decision-making efficiency. Our proficiency in Salesforce helps us improve customer relationships with innovative strategies. We leverage data tools like PowerBI for insightful analytics and excel in Microsoft cloud technologies, particularly Azure, to provide secure and scalable solutions. Additionally, our team develops integrated mobile front-end and back-end applications, ensuring user-friendly mobile access to ERP and CRM systems. BearingPoint's consulting services are designed to deliver tailored solutions that meet the unique needs of each client, driving growth and operational excellence. We pride ourselves on our client-centric approach, focusing on delivering measurable results and sustainable improvements. Primary Functions and Tasks: As a Senior Consultant for Generative AI you will be an integral part of a collaborative team focused on implementing Generative AI in a corporate context. Your primary task will be the development and implementation of Generative AI solutions, with a particular emphasis on integrating Large Language Models (LLMs). The role encompasses - amongst other - the following work areas: - Designing, developing and deploying client specific Generative AI solutions in the system landscape of client companies. - Translating Generative AI use cases into architectural and technical requirements for development and implementation. - Guiding and empowering junior colleagues in the technical implementation of Generative AI use cases for our clients. - Further developing BearingPoint’s Generative AI service portfolios. - Cross-functional collaboration and execution of agile implementations. We are looking for: - Successful completion of a bachelor's or master's degree in computer science, physics, applied (business) mathematics, (business) engineering, or a comparable STEM field. - Several years of experience with (cloud-based) AI solutions and proficient, self-directed programming skills (python) with a strong focus on machine learning, Generative AI, and business intelligence. - Experience in developing and deploying Generative AI solutions in consulting or industry (familiarity with LLM and foundation models, RAG systems, model fine-tuning, deployment etc.). - Familiarity with data science methodologies, statistical modeling, machine learning frameworks (Scikit-Learn, TensorFlow, PyTorch, Keras), and familiarity with agile development methodologies. - Excellent English skills combined with strong communication and ability to translate complex technical concepts to non-technical and management stakeholders. - Enthusiasm, proactivity and a passion for taking initiative in a fast-pace work environment with flat hierarchies. - Willingness to travel within Europe. - German is a plus Offer: Compensation package: - Our compensation package includes a fixed salary with yearly evaluation and performance-related bonus, meal tickets, Easter and Christmas gift vouchers, as well as seniority, referral bonus, and peer-to-peer recognition. Health and Wellbeing: - Our benefits package includes extra paid vacation days, hybrid working model, quality private medical subscription for employee and their families, and gym options. Professional growth: - A learning-oriented organization with customized training paths (a mix between technical, functional and soft skills, as well as German and French language courses), certifications, valuable e-learning solution and firm-wide development programs. For more information, please visit: - www.bearingpoint.com (http://www.bearingpoint.com/) - www.linkedin.com/company/bearingpoint (http://www.linkedin.com/company/bearingpoint) - instagram.com/bearingpointromania (http://instagram.com/bearingpointromania) - facebook.com/BearingPointRomania (http://facebook.com/BearingPointRomania) About BearingPoint BearingPoint is an independent management and technology consultancy with European roots and a global reach. The company operates in three business units: Consulting, Products, and Capital. Consulting covers the advisory business with a clear focus on selected business areas. Products provides IP-driven digital assets and managed services for business-critical processes. Capital delivers M&A and transaction services. BearingPoint’s clients include many of the world’s leading companies and organizations. The firm has a global consulting network with more than 10,000 people and supports clients in over 70 countries, engaging with them to achieve measurable and sustainable success. BearingPoint is a certified B Corporation, meeting high standards of social and environmental impact. Together with our colleagues from Portugal, Czech Republic and India, we are part of BearingPoint’s Cross-Shore Enablement Hub (CSH) which offers a wide range of expertise. We are present in 6 cities in Romania (Bucharest, Brasov , Cluj-Napoca, Iasi, Sibiu and Timisoara) and our team has more than 900 employees. We can’t do this alone. We can do this together. Join us.

About the role: As an AI Engineer you will be responsible for developing and maintaining data pipelines, implementing or integrating APIs and working with a web development team to deliver these services to our users. Also, AI Engineering at RebelDot requires more than just research and modeling skills. It demands strong software engineering abilities, including clean coding, proficiency in AI engineering frameworks, and experience with server-side frameworks such as FastAPI for building high-performance APIs in Python. Knowledge of best practices like version control, TDD and software development lifecycle is essential. You will work with a team of skilled members, on tasks that range from data science, image generation, image processing, to LLMs, NLP, and transformer-based architectures. What we are looking for: - A proactive, humble individual with an insatiable desire to learn and a passion for building a high-performing team that can deliver on ambitious goals - Passion for technology. You love coding, endless conversations on dev tools, frameworks, efficiency, and geek out over intricacies of software - Research mindset. We're science-focused and product-driven. At RebelDot, we turn AI into practical products. We're looking for someone that owns an AI feature end to end, which includes (but not limited to) building server-side software that delivers AI inference results, aiming for reliable, scalable systems that seamlessly integrate into client products. This means that your skill stack will consist even of high-level frameworks such as LangChain/Haystack for LLM interaction, or 3rd party vendor SDKs such as OpenAI's SDK - Collaboration. You'll work with AI Product Managers to translate client needs into technical specs and collaborate with engineers to solve challenges. Your ability to communicate complex AI concepts to both technical and non-technical stakeholders is crucial for the success of our projects. Can you explain how a CNN works to a non-technical person? You're the one! You might be our missing piece if you have: We would be thrilled if you have:

You might be our missing piece if you have: - Deep expertise in Python and AI frameworks such as PyTorch (ideal), TensorFlow, Keras, or SciPy. - Production-grade experience with FastAPI, Flask, or Django for serving AI models and building API-driven applications. - Proven experience in architecting and scaling ML systems in production—everything from data pipelines and model deployment to monitoring and optimization. - Experience with AI/ML architectures and AI-powered product architectures including: multi-agent architectures, multi-headed models, inference architectures. - Experience with connecting data pipelines and serving inference processes. - Strong hands-on knowledge of Docker and an understanding of containerized ML workflows (DevOps builds it, but you speak its language). - Proficiency in SQLAlchemy, Alembic, and relational databases, along with a solid understanding of how to model, move, and optimize data for ML use cases. - Expertise in data wrangling and preprocessing using tools like Pandas, NumPy, or SciPy. - Experience integrating with and building on external AI APIs (e.g., OpenAI, Anthropic, Hugging Face, etc.). - A solid understanding of software engineering principles, versioning (Git), and Python code style (PEP 8). - A track record of leading AI/ML projects from ideation to deployment. - Experience mentoring and guiding engineers, helping them grow technically and strategically. We would be thrilled if you have: - Exposure to research or academic papers, and a knack for translating theory into production-ready code. - Comfort with cloud infrastructure (AWS, Azure, GCP, or DigitalOcean) and understanding of CI/CD best practices. - Hands-on experience with LLMs, embeddings, semantic search, and tools like StableDiffusion or LLaMA. - A collaborative mindset and the ability to bridge the gap between product, engineering, and research teams. We will be working together on the following: - Understanding clients' and their requirements and providing optimal solutions. - Staying ahead of industry trends and implementing cutting-edge solutions. - Technical leadership over major AI initiatives, from architecture design to final delivery. - Mentoring and upskilling the AI team—pair programming, code reviews, and continuous learning are your bread and butter. - Driving best practices around model development, reproducibility, monitoring, and scalability. - Staying up to date with state-of-the-art advancements and continuously leveling up our AI capabilities.

About Qualysoft · 25 years of experience in software engineering, established in Vienna, Austria· Active in Romania since 2007, with office in central Bucharest (Bd. Iancu de Hunedoara 54B)· Delivering End to End IT Consulting Services - From Team Augmentation and Dedicated Teams to Custom Software Development · We deliver scalable enterprise systems, intelligent automation frameworks, and digital transformation platforms· Cross-industry experience by sustaining global players in BSFI (Banking, financial services and insurance), Telecom,Retail & E-commerce, Energy and Utilities, Automotive, Manufacturing, Logitics, High Tech· Global Presence: Switzerland, Germany, Austria, Sweden, Hungary, Slovakia, Serbia, Romania, and Indonesia· International team of 500+ software engineers· Strategic partnerships: Microsoft Cloud Certified Partner, Tricentis Solutions Partner in Test Automation and Test Management, Creatio Exclusive Partner, Doxee Implementation Partner· Powered by cutting-edge technologies: AI, Data & Analytics, Cloud, DevOps, IoT, and Test Automation.· Project beneficiaries ranging from large-scale enterprises to startups· Stable growth and revenue increase year over year, a resilient organisation in volatile IT market conditions· Quality-first mindset, culture of innovation, and long-term client partnerships· Global and local reach – trusted by key industry players in Europe and the US

Job Description - Identifying and evaluating AI technologies for internal use - Assessing and selecting AI models such as GPT-3.5, GPT-4, OLlama, Stable Diffusion, and others - Supporting the development of architectural solutions and best-practice scenarios - Advising on and designing individual use cases for Haufe Group products - Contributing to the implementation and operation of AI solutions - Designing, running, and analyzing experiments - Taking part in cross-functional working groups and committees - Helping to establish strategic guidelines for AI adoption Qualifications - Bachelor’s degree in Computer Science or a related field (Master’s degree a plus) - Practical experience in AI/ML technologies and software development - Familiarity with Generative AI concepts and applications - Awareness of methods and guidelines for responsible and trustworthy AI use - Programming skills in Python and/or JavaScript (experience with R, TensorFlow, or PyTorch is an advantage) - Experience in monitoring and logging Additional Information At Haufe Group, we create pioneering working conditions in which each of us can optimally contribute and develop. You’ll be given space and responsibility, you can work hybrid with flexible working hours and you have a wide range of training and development opportunities. We’re tangible and real, and officially a Great Place to Work. JobID: REF207K Shaping change. Working at Haufe Group. Our working world is diverse, complex and in continuous flux. At Haufe Group we actively shape this transformation. With content, software and training, we empower people to work successfully in a self-determined way. As a family business with around 2,700 employees and twelve locations in Germany and Europe, we support more than 1 million customers in their sustainable development and in shaping transformation processes. We embrace and value diversity and we are convinced that employees with diverse backgrounds bring different perspectives and strengths to our company. We therefore encourage applications - regardless of gender, nationality, ethnic and social background, religion/belief, disability, age, sexual orientation and identity. As a signatory of the Charta der Vielfalt, we are firmly committed to diversity, tolerance, fairness and appreciation. Company Description At Haufe Group, we are exploring a wide range of AI services and making them accessible to our teams across the company. We are looking for a motivated Generative AI Engineer (f/m/x) for our Timisoara location with a solid background in Data Science and Machine Learning - ideally with experience in NLP, Generative AI, LLMs, MLOps, and AI solution design. In this role, you will contribute to the development and implementation of AI solutions, applying your technical expertise and growing your skills alongside our innovation initiatives. Our team, Business Enablement and Innovation, serves as the first point of contact for our business units on diverse technology questions.

Job Description Overview: The Service Manager for Collaboration is responsible for managing and optimizing the collaboration services. This role requires close collaboration with various departments to ensure that communication and collaboration solutions are used efficiently and effectively. Main Responsibilities: - Manage and maintain collaboration services tools (e.g., Microsoft CoPilot, MS-Search, Slido) - Ensure the availability and performance of the service through proactive monitoring and maintenance - Manage projects related to collaboration services, including AI-Based powered solutions such as MS Copilot - Collaborate with internal teams to ensure effective coordination and timely resolution of issues - Collaborate with business process owners to understand requirements and provide solutions - Develop and execute service strategies to enhance customer experience and meet service objectives - Assist in the development and implementation of security policies and procedures for collaboration systems - Train and support end-users in using the systems - Manage projects related to messaging and collaboration services, including planning, execution, and follow-up - Ensure service and process quality based on ITSM governance rules and standards - Monitor service metrics, analyze customer feedback, and implement improvements - Oversee the service catalog and knowledge management processes Qualifications - A degree in Computer Science, Information Technology, or a comparable qualification - Several years of experience in managing collaboration services, preferably in a large corporate environment - In-depth knowledge of Microsoft 365, and other relevant technologies - Familiarity with change management practices, ITIL principles and Agile methodologies. - Experience in performing system upgrades and migrations - Excellent organization skills, with the ability to prioritize and manage multiple tasks. - Knowledge of implementing and managing security policies for IT systems - Strong problem-solving abilities and resilience in high-pressure situations - Excellent communication and teamwork skills - Fluent in English (knowledge of German is a plus) - Project management experience is an advantage Additional Information The Service Manager will play an important role in optimizing our collaboration services, ensuring seamless communication and productivity across the organization. The Service Manager leads initiatives to improve service quality, drive user adoption, and leverage the full potential of M365 tools to support our business objectives. This role requires a proactive approach and the ability to handle both technical and organizational challenges. Ready to drive with Continental? Take the first step and fill in the online application. Company Description Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent, and affordable solutions for vehicles, machines, traffic and transportation. In 2023, Continental generated sales of €41.4 billion and currently employs around 200,000 people in 56 countries and markets. Guided by the vision of being the customer's first choice for material-driven solutions, the ContiTech group sector focuses on development competence and material expertise for products and systems made of rubber, plastics, metal, and fabrics. These can also be equipped with electronic components in order to optimize them functionally for individual services. ContiTech's industrial growth areas are primarily in the areas of energy, agriculture, construction, and surfaces. In addition, ContiTech serves the automotive and transportation industries as well as rail transport.

Our Mission: 6sense is on a mission to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. 6sense Revenue AI is the only sales and marketing platform to unlock the ability to create, manage and convert high-quality pipeline to revenue. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Accountability, Growth Mindset, Integrity, Fun and One Team. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. Senior Security Engineer – Application Security (AI Security Focus) Location: Romania, Remote Reporting To: Manager, Security Engineering Function/Dept: Business Technology / Security About the Role You will drive platform security initiatives with a primary focus on securing AI/ML systems and models. You’ll partner with engineering, product, and data science teams to ensure robust security for AI-powered features and infrastructure, while maintaining coverage for traditional AppSec domains. Responsibilities & Accountabilities - AI Security Leadership: Lead the design and implementation of security controls for AI/ML models, pipelines, and data flows. - Vulnerability Management: Ensure coverage of AI/ML and application vulnerabilities using SAST, DAST, dependency scanning, and specialized AI security tools. - Threat Modeling & Red Teaming: Conduct comprehensive threat modeling and AI/ML red teaming exercises, including prompt injection, jailbreaking, adversarial attack simulations, and vulnerability assessments for AI systems. Assess risks such as adversarial attacks, model theft, data poisoning, privacy risks, and other emerging threats to AI/ML models and pipelines. - Automation & Tooling: Build and maintain automation pipelines for AI/ML security testing and monitoring. - Cross-Functional Collaboration: Partner with Engineering, Product, and Data Science to embed security into AI/ML development lifecycles. - Incident Response: Support detection, triage, and remediation of AI/ML-specific security incidents. - Training & Advocacy: Facilitate secure development training focused on AI/ML risks and best practices. - Metrics & Reporting: Track and report status of vulnerabilities, including AI/ML-specific metrics (e.g., model robustness, data integrity). - Program Ownership: Design and execute quarterly OKRs for AI/ML security initiatives. Performance Measurement - Demonstrates deep understanding of AI/ML security risks and mitigations. - Leads identification, triage, and management of AI/ML and application security issues. - Establishes routines for updating documentation, runbooks, and dashboards with AI/ML security content. - Effectively communicates complex AI/ML security topics to technical and non-technical stakeholders. Educational and Experience Requirements - 5+ years in information security, with significant experience in application security and AI/ML security. - Hands-on experience securing AI/ML models, pipelines, and data within the AI/ML SDLC. · Familiarity with common AI/ML security threats (adversarial attacks, model inversion, data poisoning). - Experience with security tools for AI/ML (e.g., Adversarial Robustness Toolbox, MLFlow security plugins). - Development or scripting experience (Python preferred; experience with AI/ML frameworks a plus). - Excellent communication skills. Preferred Qualifications - Bachelor’s degree in a related field. - Relevant certifications (e.g., AIRTP+, CAISF, Microsoft AI Security Fundamentals, AWS Certified Security – Specialty, GIAC, CISSP, CEH are highly desirable). - Experience working directly with software developers and data scientists to improve code/model security. Competencies and Behaviors - Establishes credibility among Engineering and Data Science counterparts. - Advocates for AI/ML security best practices. - Drives tasks to completion and maintains accuracy of information. - Effective prioritization and escalation to management. Our Benefits: Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices. We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. Equal Opportunity Employer: 6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected] (mailto:[email protected]). (mailto:[email protected]) We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to [email protected] (mailto:[email protected])

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you. WHAT YOU'LL DO As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Field Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will: - Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration - Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components - Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms - Contribute to shaping Braze's product strategy and roadmap through customer-facing insights and technical expertise - Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success WHO YOU ARE - Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred - Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred - Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment - Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions - Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms - Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value - Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions - Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow - Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here (https://www.braze.com/company/careers/how-we-hire#benefit-section). More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as: - Competitive compensation that may include equity - Retirement and Employee Stock Purchase Plans - Flexible paid time off - Comprehensive benefit plans covering medical, dental, vision, life, and disability - Family services that include fertility benefits and equal paid parental leave - Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend - A curated in-office employee experience, designed to foster community, team connections, and innovation - Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching - Employee Resource Groups that provide supportive communities within Braze - Collaborative, transparent, and fun culture recognized as a Great Place to Work® ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you. Please see ourCandidate Privacy Policy (https://www.braze.com/company/legal/privacy-policy-job-candidates) for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you. WHAT YOU'LL DO As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Field Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will: - Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration - Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components - Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms - Contribute to shaping Braze's product strategy and roadmap through customer-facing insights and technical expertise - Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success WHO YOU ARE - Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred - Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred - Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment - Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions - Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms - Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value - Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions - Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow - Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here (https://www.braze.com/company/careers/how-we-hire#benefit-section). More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as: - Competitive compensation that may include equity - Retirement and Employee Stock Purchase Plans - Flexible paid time off - Comprehensive benefit plans covering medical, dental, vision, life, and disability - Family services that include fertility benefits and equal paid parental leave - Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend - A curated in-office employee experience, designed to foster community, team connections, and innovation - Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching - Employee Resource Groups that provide supportive communities within Braze - Collaborative, transparent, and fun culture recognized as a Great Place to Work® ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you. Please see ourCandidate Privacy Policy (https://www.braze.com/company/legal/privacy-policy-job-candidates) for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.