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Tier-1 employer, mid-level generalist ML/NLP role in metro with broad skill requirements.
Requires specialized ML/LLM production experience, but technical skills are transferable across industries.
Explicit 3–6 years requirement plus mandatory ML, LLM, cloud, and production deployment skills.
Lead and execute high-impact data science projects from problem framing to production deployment, focusing on ML, NLP, and LLM-based solutions.
Continuously evaluate and implement LLMs and agentic AI systems, including managing evaluation, guardrails, and hallucination control.
Communicate complex technical insights effectively to stakeholders and influence decision-making.
3-6 years of hands-on experience in applied ML/AI with production model deployment.
Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics, or related quantitative field, or equivalent expertise.
Expert-level Python skills and experience with ML frameworks (NumPy, pandas, scikit-learn, PyTorch) and cloud platforms (AWS/Azure/GCP).
Experience with supervised/unsupervised ML, LLMs, agentic systems, prompt engineering, and vector databases required.
Experienced in end-to-end ML solution ownership including problem framing, method selection, and productionization in real-world contexts.
Comfortable applying diverse ML approaches including supervised, unsupervised, optimization, LLM/agentic workflows, and evaluation.
Skilled at balancing technical and business perspectives, working directly with stakeholders and leadership to maximize impact.