Back
Tier-1 brand, metro location, popular Data Scientist title, and mid-level experience amplify competition.
Requires niche LLM, agentic AI and knowledge-graph expertise, limiting cross-industry transferability.
Explicit years plus mandatory LLM, MLOps, graph DB, and production deployment skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own and lead AI/ML problem statements and domain-specific LLM solutions within the Agentic AI platform initiative to deliver business value.
Lead model evaluation, fine-tuning, prompt optimization, and operationalization of foundational and domain models with robust data governance.
Design and implement evaluation frameworks, taxonomies, and metrics for benchmarking and anomaly detection; collaborate with engineering for production-scale AI deployments.
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field.
5+ years overall IT experience with 3+ years in applied machine learning or NLP in production environments.
Proficiency with LLMs, generative AI, Python, ML libraries (PyTorch, TensorFlow, Scikit-learn), and graph technologies (Neo4j, DGL).
Familiarity with cloud AI/ML services (AWS, Azure, GCP) and MLOps practices. Work Schedule: On-premise.
Experienced in leading end-to-end AI/ML projects involving large language models and domain-specific AI solutions in production environments.
Strong technical background enabling independent ownership of complex model evaluation, fine-tuning, and deployment pipeline.
Ability to work cross-functionally with engineering, product, and business teams to translate research into scalable AI products.