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Tier-1 brand, Bangalore metro, and hot ML/LLM skillset increase applicant competition significantly.
Role demands specialized ML/AI, MLOps, and LLM experience, limiting cross-industry transferability.
Mandatory 8+ years plus specific ML, MLOps, and cloud skills enforce stringent shortlisting filters.
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Lead end-to-end delivery of scalable AI/ML solutions from ideation through production and adoption, ensuring measurable business impact.
Design, guide development, and manage lifecycle (MLOps) of AI models integrated securely into data engineering and operational processes.
Drive prioritization of AI use cases aligned to business goals, embed Responsible AI principles, and translate complex AI outputs into actionable business insights.
8-10+ years experience in technical delivery of AI, data science, or advanced analytics products/solutions in scaled production environments.
Hands-on experience with Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn; strong knowledge of data engineering and large-scale data pipelines.
Expertise in AI/ML lifecycle management including Agile/DevOps/ML development lifecycles, with focus on LLMs, RAG architectures, and AI agents.
Bachelor's or master's degree in computer science, data science, engineering, mathematics, or related field.
Experienced in managing cross-functional, global teams to deliver AI solutions aligned to business priorities and driving wide adoption across markets.
Strong in stakeholder management with senior business leaders, skilled in bridging technical AI solutions and business requirements.
Proficient in cloud AI ecosystems (preferably Azure) with knowledge of Responsible AI, AI governance, and operationalizing AI models in enterprise environments.