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Tier-1 brand, Bangalore metro, mid-level ML manager title, and broad LLM/AWS requirements drive high competition.
Requires specialized ML/LLM and media NLP experience but core skills are moderately transferable across industries.
Explicit 5+ years, hands-on ML/LLM, AWS, Terraform, and managerial delivery responsibilities enforce strict shortlisting.
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Take end-to-end technical ownership of a media-screening ML platform running classical ML and new LLM/Generative AI models on AWS in production.
Hands-on design, build, evaluation, deployment and continuous management of models and related services with accountability for reliability, cost, and quality.
Set technical direction, roadmap, standards, and lead a small team while being the technical liaison to US-based stakeholders and other internal teams.
5+ years of hands-on experience building and shipping ML/AI systems in production, including model training and coding.
Recent hands-on AWS experience with SageMaker, Lambda, S3, ECS/EKS and infrastructure-as-code (Terraform/AWS CDK).
Strong skills in Python and solid knowledge of classical ML and modern LLM/GenAI techniques including fine-tuning, prompting, evaluation, and retrieval.
Experience with MLOps practices, reproducible training, deployment, monitoring, cost, and quality management.
Proven ability to pragmatically modernize or migrate legacy ML systems toward LLM/Generative AI technologies while balancing performance and costs.
Experienced working as technical owner and leader interfacing globally with stakeholders and partners, including managing cross-timezone coordination.
Strong domain experience in content, media, NLP, or large-scale classification problems with track record of delivering deployed solutions on AWS.