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Popular mid-level Generative AI role in a metro with 3-6 year band increases candidate competition.
ML and LLM engineering skills transfer across industries but favor AI-focused backgrounds.
Explicit 3-6 years requirement plus mandatory ML, LLM, and framework skills enforces strict filtering.
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Design, develop, and deploy machine learning and generative AI solutions with a focus on LLMs, NLP, and deep learning frameworks.
Prepare, clean, analyze datasets, fine-tune models, and create workflows involving prompts, RAG, or agents.
Deploy models and monitor their performance, accuracy, and reliability while documenting experiments and collaborating with cross-functional teams.
3-6 years of relevant AI/ML development experience.
Bachelor’s or master’s degree in Computer Science, AI, Data Science, or related discipline.
Strong programming skills in Python and experience with TensorFlow, PyTorch, Keras, or similar frameworks.
Practical knowledge of LLMs, NLP, embeddings, and vector databases; knowledge of cloud AI services and MLOps preferred but not mandatory.
Experienced AI/ML engineer with hands-on exposure to designing and deploying LLM-based and NLP applications.
Comfortable working in cross-functional teams involving product, engineering, and business stakeholders on AI use cases.
Able to manage the full ML lifecycle including data preparation, model fine-tuning, deployment, and performance monitoring.