Senior Principal Data Scientist
AtkinsRéalis (company site, opens in a new tab)10+ yrsBengaluruRemoteDirect career pageEst. 30–60 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and deployment of scalable machine learning and deep learning models for practical enterprise applications.
- Drive innovation through generative AI, large language models, and autonomous AI systems while ensuring governance and ethical compliance.
- Mentor data science teams and facilitate cross-functional collaboration to align AI initiatives with business and product strategies.
Minimum Requirements
- 10+ years of experience in Data Science, AI/ML including leadership on enterprise-scale projects.
- Advanced proficiency in Python, PyTorch, TensorFlow, Hugging Face, LangChain, AutoGen, and cloud platforms preferably Azure or AWS.
- Master's or PhD in Computer Science, Data Science, AI/ML, or related field with relevant certifications from Microsoft, AWS, IIT-Delhi or equivalent in AI/ML, GenAI.
- Experience leading MLOps implementation, knowledge of LLMs (GPT, Gemini, Llama), orchestration tools (Crew AI, LangGraph), and vector databases (Pinecone, FAISS).
Ideal Candidate Profile
- Technical visionary with deep expertise in machine learning, generative AI, and cloud-native AI architecture focusing on innovation and governance.
- Experienced leader in cross-functional teams within Agile environments capable of mentoring senior data science professionals.
- Proven track record of integrating AI solutions into products and business operations with strategic impact.