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Tier-1 brand, mid-level ML/LLM role and metro hiring amplify applicant competition.
Highly specialized ML/LLM expertise limits cross-industry transfer without equivalent AI experience.
Requires Master/PhD, 5+ years, LLM/ML and MLOps skills, making filters stringent.
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Design and develop custom ML, Gen AI, NLP, and LLM models for batch and streaming AI/ML pipelines including data ingestion, preprocessing, RAG, fine-tuning, and prompt engineering.
Collaborate with product, business, MLOps, machine learning engineers and software teams to integrate ML models into production systems.
Maintain comprehensive documentation of ML modeling processes, troubleshoot complex model development and data pipeline issues, and ensure compliance with standards and best practices.
Master’s or Ph.D. in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering or related field.
5+ years of hands-on experience with ML, RAG, NLP leveraging large structured and unstructured data sets.
Proficiency in Python coding for production, experience with PyTorch and TensorFlow, AWS, Git workflows, Docker, Kubernetes and MLOps tooling.
Experience integrating large language models (LLMs) or multimodal models into production and knowledge of generative AI frameworks like LangGraph and LangChain.
Experienced scientist capable of end-to-end ML model design, development, fine-tuning, and prompt engineering focused on large language models and generative AI.
Comfortable working in cross-functional teams including data science, MLOps, and software engineering to deliver production-ready AI solutions.
Strong technical ability in both applied research and real-world integration of advanced ML models with structured adherence to best practices and governance.