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Required Experience
• 3+ years of experience as a Data Scientist.
• Strong hands-on skills in Python and ML libraries (e.g., scikit learn, XGBoost).
• Strong experience with agentic frameworks and technologies (e.g. MCP, langchain, Bedrock).
• Experience with large enterprise datasets and analytics platforms (Data Cloud, Snowflake, or similar).
• Experience in measuring the impact of AI products both during R&D and live.
Job ID: 145170103
Skills:
vertex , Java, Tensorflow, Pytorch, Keras, Azure, Python, scikit-learn, Cloud Vision, Open AI, R, Google ADK, Gemini
Skills:
Retrieval-Augmented Generation (RAG), Infrastructure as Code (IaC), Amazon Web Services, Google Cloud Platform, Terraform, Azure, LangChain, Regula test cases, RAG vector databases, Cloud infrastructure deployment pipelines, Vector databases, Rego policies, LangGraph, LLM APIs, Open Policy Agent
Skills:
Tensorflow, Nlp, Pytorch, Docker, Python, AWS, Backend Development, MLops, Gcp, Rest Apis, Azure, Kubernetes, AI ML Generative AI, embeddings, scikit-learn, Lang Chain, CI CD, LangGraph, SQL databases, LLMs, prompt engineering, RAG, AI agents, LlamaIndex
Skills:
Natural Language Processing, Keras, RDBMS, Rest API Development, Algorithms, Software Architecture, Machine Learning, Pytorch, Artificial Intelligence, Python, Nosql, Data Structures, Data Modeling, Statistics, scikit-learn, R
Skills:
Prometheus, AWS CloudFormation, Tensorflow, Grafana, Google Cloud, AWS, Pytorch, Kubernetes, Azure, Docker, Terraform, Cloudwatch, MLflow, Scikit-learn, TensorFlow Serving