snowflake , Tensorflow, Pytorch, MLops, Pyspark, Databricks, Python

Apis, Sql, Tensorflow, Nlp, Pytorch, Computer Vision, Python, Data Analysis, Generative AI, scikit-learn, LLMs, cloud-based solutions, Forecasting, ML pipelines, Optimization, RAG, evaluation frameworks

Retrieval Augmented Generation (RAG, Large Language Models (LLMs, Python, Sql, Clustering, Java, Tensorflow, MLops, Pytorch, Predictive Modeling, XGBoost, ranking, CI/CD, Fraud Detection, Go, Scikit-learn, vector databases, embeddings, Classification, Forecasting, recommendation systems

S3, Dynamodb, Kms, Iam, k-means, FastAPI, Python, AWS CDK, FHIR R4, Secrets Manager, scikit-learn, Pydantic v2, LOINC, Aurora PostgreSQL, snomed, RxNorm, OpenSearch Serverless, HL7 v2, HDBSCAN, k-NN algorithms, USCDI

MLops, Python, Sql, tree-based models, classical ML regression, feature engineering, time-series forecasting, ML models, Validation, LLM agentic systems

Machine Learning, Kafka, Tensorflow, Data Science, Nlp, Pytorch, Docker, Python, C++, Apache Spark, Software Engineering, Time Series Analysis, FastAPI, Kubernetes, Go, Flink, GRPC, LLMS RAG pipelines, CI/CD for ML, LangChain, Forecasting, Triton Inference Server, Vector databases, anomaly detection

Git, Python Programming, Lang Chain and Lang Graph, Experience with Lang fuse, Understanding of agentic design patterns and workflow orchestration, Working with Databricks and modern data platforms, Prompt engineering and context engineering, RAG embeddings semantic search

weights & biases, python, Version Control, Test Driven Development, Docker, Spark, Databricks, Terraform, Tensorflow, Kubernetes, AWS, Pytorch, scikit-learn, mlflow, kubeflow, langchain, AI ML model training and serving

Rest Apis, Pytorch, Kubernetes, Python, Docker, Nlp, Machine Learning, Hugging Face Transformers, RAG, vector databases

Deep Learning, Tensorflow, Pytorch, Databricks, Python, GCP Vertex, LLMs, AWS Sagemaker, classical ML, cloud ML infrastructure