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Tier-1 brand, mid-level ML/GenAI role in Bangalore with broadly sought NLP skills increases applicant competition.
Role demands deep NLP/GenAI and production ML engineering, so limited cross-industry transferability.
Requires 5+ years NLP experience, LLM/ML lifecycle expertise, and production/cloud engineering skills.
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Lead research, design, and production deployment of advanced NLP and GenAI models, including end-to-end ML pipelines and scalable backend microservices on AWS.
Own building and operating MCP servers and AI Agents that enhance enterprise workflows and productivity, ensuring monitoring, logging, and automated recovery.
Collaborate cross-functionally to integrate ML services, mentor junior engineers, set best practices, and troubleshoot production issues related to ML systems.
Bachelor’s degree or higher in Computer Science, Math, Computational Linguistics, Computer Engineering, or related field.
5+ years professional experience in NLP with strong Python skills and frameworks such as Spacy and Hugging Face.
Proven expertise in full ML lifecycle for NLP applications and experience with GenAI frameworks (TensorFlow, PyTorch) and LLMs.
Experience developing scalable backend microservices on AWS; work experience requirement met by 5+ years mentioned.
Experienced in designing enterprise-grade NLP and GenAI solutions with compliance and governance considerations.
Strong software engineering background with ability to produce maintainable, efficient code in Python or similar languages and integrate ML models into production systems.
Comfortable leading technical discussions, mentoring teams, and translating business requirements into robust AI-driven applications in a collaborative setting.