Master's or PhD in Computer Science, Data Science, Statistics, or related field.
5-8 years of experience in data science and ML, with strong enterprise project delivery experience.
Proven success in building and deploying ML models and recommendation systems at scale.
2+ projects delivered involving LLMs and Generative AI, with hands-on experience in one or more of: OpenAI, Hugging Face Transformers, Lang Chain, Vector DBs, or model fine-tuning.
Advanced Python programming skills and experience with ML libraries (e.g., Scikit-learn, XGBoost, PyTorch, and Tensor Flow).
Experience with cloud-based ML/AI platforms (e.g., Vertex AI, AWS SageMaker, and Azure ML).
Strong understanding of system architecture, APIs, data pipelines, and model integration patterns.
Preferred Qualifications
:
Experience with Agentic AI frameworks and orchestration systems (LangChain, AutoGen, ADK, and CrewAI).
Familiarity with prompt optimization, tool chaining, task planning, and autonomous agents.
Working knowledge of MLOps best practices including model versioning, CI/CD for ML, and model monitoring.
Strong communication skills and ability to advocate for AI-driven solutions across technical and non-technical teams.
Job Type: Full-time
Work Location: In person
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