Location:Brasil (Remote/Hybrid) |Experience:6+ Years |Core Stack:Python, PySpark, Azure Databricks, LLMs, MLflow |Workplace Type:Remote The Opportunity KPIT is seeking a high-caliberSenior Data Scientist / AI Engineerto architect and deliver end-to-end, production-grade AI and Machine Learning solutions. This is not just a research role; it is a hands-on engineering position designed for a specialist who can bridge the gap between complex mathematical modeling and scalable cloud deployment. You will lead the development of next-generation AI agents and scalable data pipelines on Azure, turning massive datasets into intelligent, autonomous workflows that drive real business value. Technical Leadership & AI Engineering End-to-End AI Ownership:Take full accountability for the AI lifecycle—from initial problem definition and data discovery to the deployment and monitoring of production-grade models. Agentic AI & Generative AI:Spearhead the development of advancedAgentic AI workflows, implementing multi-step reasoning, tool usage, and autonomous decision-making capabilities using modern GenAI frameworks. Scalable Data Engineering:Architect and maintain high-performance data pipelines usingPySparkandSparkwithin theAzure Databricksecosystem. MLOps & Lifecycle Management:Implement robust MLOps practices usingMLflowto track experiments, manage deployments, and ensure seamless model versioning. Production Reliability:Design sophisticated monitoring systems to track model performance, detect data drift, and ensure the long-term reliability and integrity of AI in live environments. Technical Expertise Required (Must Have) 5–6 years of professional experiencein Data Science, Machine Learning, or AI Engineering. Advanced Python & SQL:Expert-level coding skills for data manipulation, algorithm development, and database interaction. Big Data Ecosystem:Proven hands-on experience withPySpark, Spark, and Azure Databricks. Cloud Native AI:Strong experience delivering and scaling ML solutions within theMicrosoft Azureenvironment. Generative AI Expertise:Practical experience withLLMsand AI Agent frameworks (e.g.,LangChainorSemantic Kernel ). MLOps Proficiency:Solid understanding of the ML lifecycle, including feature engineering, evaluation techniques, andMLflow. Education:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field. The Differentiators Advanced Orchestration:Experience building complex, multi-agent systems that interact with external tools/APIs. Architectural Depth:Ability to design not just the model, but the entire data-to-inference architecture. Mentorship:A track record of elevating engineering standards and mentoring junior data scientists. Who You Are An Architect:You don't just build models; you build scalable, production-ready systems. A Lifelong Learner:You stay at the forefront of the rapidly evolving GenAI and Agentic AI landscape. A Business Translator:You can translate vague business problems into precise technical requirements and measurable AI outcomes. The Reward Cutting-Edge Tech:Opportunity to work with the latest in Agentic AI and Large Language Models. Competitive Compensation:Salary packages that recognize your specialized AI/ML expertise. Health & Wellness:Comprehensive medical and dental insurance. Vouchers:Competitive VR/VA package and more. Career Growth:Clear progression and leadership opportunities within a global technology leader. Impact:Drive the AI-led digital transformation of the global automotive and mobility ecosystem. About KPIT KPIT is a global partner to the automotive and mobility ecosystem, delivering end-to-end engineering, data, and AI-led digital transformation solutions to leading OEMs and Tier-1 suppliers. We help shape the future of mobility by integrating intelligence into every aspect of the vehicle and the driving experience.