data engineering , Nlp, Gitlab, Azure, Python, Aws

Unix, Front End, Linux, Unit Testing, Automation, Sql, Python, Backend, Analytical, Computer Science

Ml, Jax, Pytorch, Python, DPO, large language models, distributed training, synthetic data generation, RLAIF, Ai, SFT, RLHF, reward modeling, preference data curation, ppo

snowflake , APEX, Databricks, Data Modeling, Java, Typescript, Python, Javascript, Salesforce APIs, Agentforce, Processing pipelines, Analytics, Salesforce Data 360

react.js , S3, Golang, Cloudformation, PostgreSQL, Dynamodb, Node.js, Grafana, Redis, Cloudwatch, Docker, Terraform, MySQL, Iam, Kubernetes, AWS, Next.js

Sql, Microservices, Tensorflow, Git, Gcp, Pytorch, Azure, Python, AWS, MLflow, vector database management, test-driven development, model quantization techniques, Go or Rust

MLops, AWS, Python, Azure, Enterprise Integration, Apis, LangChain, OpenAI, LLM frameworks, LLMOps, vector databases, multi-agent tool-based systems, Agentic AI, RAG architectures, LangGraph

Bitbucket, Postgres, FastAPI, Docker, Jenkins, SQLModel, SQLAlchemy 2, Poetry, Alembic, Python 3.11, OpenAI GPT-4.1, Semantic Kernel, OpenTelemetry, Google Gemini 2.5, pgvector, Azure AI Search, structlog, Chroma, GitHub Copilot

Redis, Gcp, MLops, Databricks, Azure, Python, AWS, CrewAI, re-ranking, multi-step agent workflows, hybrid retrieval, vector databases, MLflow, CI CD, OpenSearch, LangGraph, ML pipelines, ML DL model design, FAISS, LLM orchestration, grounding, Agentic AI GenAI systems, advanced RAG systems