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Mid-level ML role in Bengaluru with common 4-6 years profile and broad skillset increases competition.
Core ML/LLM skills transfer well, but product and platform specifics raise fit sensitivity.
Explicit 4-6 years plus many mandatory ML, data platform, and deployment technologies.
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Lead design, development, and deployment of AI/ML solutions across product lines with ownership of end-to-end AI/ML modules.
Provide technical leadership to data science teams ensuring high-quality deliverables and best practice adherence.
Conduct research in advanced Machine Learning, Deep Learning, and AI technologies including hands-on production work with Large Language Models (LLM).
4-6 years of experience in Data Science and AI/ML product development with proven leadership of technical teams.
Strong expertise in Machine Learning, Deep Learning, NLP, Anomaly Detection, and model lifecycle management.
Proficient in Python and ML frameworks (TensorFlow, Keras, PyTorch), SQL/NoSQL databases, and ElasticSearch.
Experience with Big Data frameworks (Spark, Storm, Databricks, Kafka) and container/orchestration technologies (Docker, Kubernetes, ECS, EKS).
Experienced technical leader comfortable managing multiple AI/ML projects in agile, fast-paced environments.
Deep specialization in ML algorithms and lifecycle management with focus on scalable production systems involving LLMs.
Capable of collaborating cross-functionally with product managers, data engineers, and architects to translate business needs into technical AI solutions.