Posted:3 hours ago|
Platform:
Hybrid
Full Time
Role & responsibilities Develop and deploy advanced AI/ML solutions, including RAG-based knowledge assistants and full-stack applications with MLFlow integration. Conduct extensive prompt tuning and evaluation for foundational LLMs to optimize model performance and output quality. Contribute to MLOps practices, including model benchmarking, deployment, and monitoring. Expertise in Python programming and strong proficiency in SQL and Spark. Extensive experience with MLOps frameworks like MLFlow and Docker. Proficiency in cloud platforms and services, including Databricks, Azure ML, and Vertex AI. Demonstrated experience with LLM concepts, Langchain, and agentic workflows. Excellent problem-solving, communication, and collaboration skills.
Anblicks Solutions
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