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Mid-level ML role at a known firm with specialized LLM and graph requirements.
High: requires LLM/agentic AI, knowledge-graph, and production ML experience limiting cross-industry transferability.
High: explicit 5+ years requirement plus mandatory LLM, graph, and MLOps skills.
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Own AI/ML problem statements and deliver value using agentic AI workflows and domain-specific LLM solutions.
Lead model evaluation, fine-tuning, prompt optimization, and develop evaluation frameworks for benchmarking and anomaly detection.
Build and maintain knowledge graphs, embeddings, and collaborate with engineering to deploy scalable AI solutions in production.
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
5+ years experience in IT with at least 3 years in applied machine learning or NLP in production environments.
Strong hands-on experience with LLMs, fine-tuning, evaluation, Python, ML libraries (PyTorch, TensorFlow, Scikit-learn).
Experience with graph databases, knowledge graphs, cloud AI/ML services (AWS, Azure, or GCP), and MLOps practices.
Experienced in advanced LLM research and production-scale AI deployments within agentic AI platforms.
Ability to independently own domain-specific AI/ML projects with cross-functional collaboration across engineering, product, and business teams.
Strong technical proficiency in graph-based reasoning, knowledge graphs, and developing scalable AI workflows.