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Tier-1 employer and Bangalore metro increase competition despite senior, niche ML/NLP specialization.
Core ML/NLP skills are transferable but healthcare enterprise and MCP experience raise domain specificity.
Multiple explicit years and mandatory ML/NLP, deep learning, leadership and MCP experience create strict screening.
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Lead design, development, and deployment of AI-powered solutions incorporating NLP, deep learning, and agentic capabilities to solve complex business challenges at enterprise scale.
Drive innovation by integrating AI advancements into scalable, production-ready systems, including work with Model Context Protocol (MCP) servers for large-scale AI computations.
Lead technical projects, mentor junior team members, and ensure ethical AI principles (fairness, transparency, accountability) are upheld throughout AI model development.
Bachelor's degree in Computer Science or similar field.
Minimum 9 years of experience in data science, AI/ML or statistical model development with production-level AI model deployments.
At least 5 years' experience programming in Python, R, or Java; 3+ years in NLP, prompt engineering, and intelligent agent architectures; 3+ years with deep learning frameworks (TensorFlow, PyTorch, Keras).
Minimum 2 years experience leading technical projects or mentoring; 1+ year experience working with Model Context Protocol (MCP) servers or similar distributed AI computing systems.
Experienced AI/ML practitioner with strong technical leadership and mentoring capabilities in large-scale, enterprise AI projects.
Deep expertise in NLP, prompt engineering, and advanced agentic AI systems development.
Proven ability to collaborate across research, product, and engineering teams to translate AI research into scalable, production-ready solutions, while ensuring ethical AI practices.