AI/ML Engineer

workflow engines , Python, tool function calling, tracing observability tooling, Logfire, AI systems in production, prompting, Temporal, OpenTelemetry, pydantic-ai, LiteLLM, MCP, agent architectures

Image Processing, Computer Vision, Data Preprocessing, Cloud AI Services

triton , Pytorch, Docker, Python, Kubernetes, Airflow, pgvector, Qdrant, GPTQ, MLflow, Pinecone, LangGraph, GGUF, Kubeflow, MLOps tools, quantization techniques, AWQ, CrewAI, LangChain, Weights Biases, Hugging Face ecosystem, Scikit-learn, vLLM, AutoGen, TGI, FAISS, Weaviate, LlamaIndex

data engineering , Sqlalchemy, Nlp, Celery, Python, AWS EKS, Ml, FastAPI, Kubernetes, Airflow, pgvector, Pinecone, confidence calibration techniques, data ingestion pipelines, LLM output validation frameworks, Pydantic, vector database, semantic search, Ai, embedding models, prompt engineering, LLM evaluation frameworks, Claude API, Weaviate

amazon sqs , snowflake , Golang, Cassandra, Grafana, Sql, Tensorflow, New Relic, Nosql, Rabbitmq, Numpy, Postgres, Databricks, Python, Restful Services, AWS, GenAI, MLlib, NLP libraries, ScikitLearn, Agentic AI, Apache Kafka MSK