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6+ years overall experience, including 4+ years in AI/ML
Proficiency in Python, ML, NLP, and text data analysis
Hands-on experience with API creation, RAG, Vector databases, LLM prompt engineering, LLM evaluation
Familiarity with MLOps tools and practices, including:
• Monitoring and evaluation tools like LangSmith
• LLM deployment libraries like LiteLLM, LLM Guardrails, and more
• CI/CD, model versioning, and model deployment best practices
Knowledge of or willingness to learn Kubernetes and cloud services (AWS/GCP/Azure)
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