Job Title: Lead Data Scientist Company Name: Xebia Job Details: RemoteFull,Time Job Url: https://hiring.cafe/viewjob/ghpepibmj20e9sxw Job Description: Posted 1w agoLead Data Scientist @ XebiaView All JobsWebsiteUnited StatesRemoteFull TimeResponsibilities:Leading AI/ML solutions, Architecting scalable systems, Collaborating with cross-functional teamsRequirements Summary:5+ years in ML production, 8+ years software engineering; experience with AI agents, LLMs, RAG; Spark, Kafka, Scala, Python; cloud platforms; Databricks; Claude; PyTorch/TensorFlow; Kubernetes; feature stores.Technical Tools Mentioned:Spark, Kafka, Scala, Python, Databricks, Claude, PyTorch, TensorFlow, Keras, Azure, AWS, Kubernetes, ONNX, MLEAP For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI-driven digital transformation. Since 2001, we have grown into a full-service digital consulting company with 5500+ professionals working on a worldwide ambition.   Driven by the desire to make a difference, we keep innovating. Fueling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high-quality way of working that inspires all we do.   About the Role   As a Lead Data Scientist, you will operationalize innovative AI/ML solutions and work alongside other team members like Product Manager, Enterprise Architect, ML Engineers[SP2] [NB3] , Data scientists and Business to architect, design, build and productionalize AI/ML models. You will be also responsible for integrating AI/ML solutions into operational products. This hands-on technical role demands excellent Data Science, ML engineering and ML ops/LLM Ops knowledge and can demonstrate best practices in the industry. Come be a part of a team that is starting this new journey.   We are looking for someone who is a technology-agnostic polymath—committed to a lifelong journey of learning and exploration of new scientific ideas—and will bring thoughtful perspectives, empathy, creativity, and a positive attitude to solve problems at scale. This role is ideal for someone looking to extend their Data Science, machine learning and software engineering skills to lead an AI/ML engineering team and create impact by delivering AI/ML capabilities at scale   What You’ll Do Responsible for leading and executing AI/ML solutions across enterprise Architect, build, maintain scalable systems using established design patterns, leads security-first practices, and maintains deep domain expertise while anticipating future technical needs and costs Implement end-to-end solutions for batch and real-time algorithms along with tooling around monitoring, logging, automated testing, performance testing and A/B testing Collaborate with Product, Engineering, Data Scientists, ML Engineers and Business teams on planning new capabilities Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation Write efficient and well-organized software to ship products in an iterative, continual-release environment Actively participate in code review to ensure it meets best practice specifications and drive quality assurance through systematic testing frameworks and debugging Contribute to and promote good software engineering practices across the team Reviews and prioritizes epics/projects with proper breakdown and dependency management, proactively identifies and communicates blockers or delays, handles uncertainty and high-pressure situations decisively, and applies economic thinking to optimize value delivery Mentor teammates to adopt best practices in writing and maintaining production machine learning code and growth opportunities, fosters cultures of effective communication, feedback, and knowledge sharing, builds strong cross-functional relationships, and collaborates on engineering strategy while contributing to product roadmap development. Excellent communication skills, with the ability to explain complex technical concepts to technical and non-technical audiences Utilize your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset. Demonstrate our values of Passion for Client Service, Innovation, Expertise, Balance, Respect for All, Teamwork, and Initiative Support technical evaluations of other consultants when required, contributing to the assessment of skills and alignment with project needs   What You Bring University or advanced degree in engineering, computer science, mathematics, or a related field 5+ years of experience developing and deploying machine learning systems into production 8+ years of experience in Software Engineering Experience working with AI Agentic systems, LLMs, and RAG architecture Experience working with MCP (Model Context Protocol) Experience using open source LLMs and LLMOPs Experience working with a variety of relational SQL and NoSQL databases Experience working with: Spark, Kafka, Scala, Python, etc. Knowledge of cloud platforms (Azure, AWS or equivalent cloud platforms) Microsoft Azure: Experience designing, deploying, and administering scalable, available, and fault tolerant systems on Microsoft Azure Hands-on Experience working with Databricks Hands-on Experience working with Claude Experience with deep learning frameworks such as PyTorch, TensorFlow, Keras or similar Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. Industry experiences building and productionizing creative end-to-end Machine Learning systems Experience building and operationalizing feature stores Experience working with distributed systems, service-oriented architectures, and designing APIs Familiarity in deploying real-time ML systems on Azure Cloud through frameworks such as ONNX, MLEAP, TF Serving, etc. Knowledge of data pipeline and workflow management tools Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation Relevant working experience with Kubernetes. What We Offer 100% remote work to provide flexibility and work-life balance. Company laptop and necessary equipment to perform your role effectively. Competitive salary package aligned with local market benchmarks.   Xebia is committed to creating an inclusive and diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability or age.