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Senior, highly specialized ML/AI role with niche LLM and MLOps skills reduces applicant competition.
Role demands deep ML/AI, LLM, and MLOps expertise, making cross-industry transferability limited.
Explicit 10+ years, advanced degree, specific ML/LLM/MLOps tech and certifications create strict shortlisting filters.
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.
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).
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.