Description

Tech Stack - Python, SQL, Docker & Kubernetes, Fast API, Flask, MLOps, Machine Learning, LLM’s, LangChain or similar orchestrator, Vector DB or similar, GCP, Google AutoML, Vertex AI & Build tools
AI/ML Engineer –
•            Design and implement scalable MLOps supportive data pipelines for data ingestion, processing, and storage.
•            Experience deploying models with MLOps tools such as Vertex Pipelines, KubeFlow, or similar platforms

Key Skills
Education

Any Gradute

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