Apis, Microservices, Tensorflow, Pytorch, Gcp, MLops, Docker, Python, AWS, embeddings, Generative AI, LLMs, LLMOps, Scikit-learn, vector databases, Azure OpenAI, RAG, Azure AI

Hadoop, Java, Tensorflow, Kafka, AWS, Pytorch, Redis, Python, Docker, Jenkins, Git, PostgreSQL, MongoDB, Spark, Azure ML, MLflow, Kubeflow, Google AI Platform, Hugging Face, Scikit-learn, SageMaker, LangChain, DVC

Ocr, Pytorch, Tensorflow, Python, LLM Development, Multimodal AI, Machine Learning Engineering, Observability logging and monitoring, Document understanding systems, AI Agent Workflow Automation, RAG architectures

Tensorflow, Jax, System Design, Distributed Systems, Pytorch, Python, Spark, performance optimization, Ray, CI CD, cloud-native AI ML services, distributed computing frameworks, model serving, scalable AI inference systems, model monitoring, MLOps best practices

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

Spark, Sql, Kafka, AWS, Kubernetes, Python, Gcp, Docker, Airflow, LlamaIndex, ADK, dbt, Hugging Face, Prefect, Weaviate, LangChain, pgvector, OpenAI API, Pinecone, MCP A2A, Chroma, Qdrant

data engineering , Ml, Pyspark, Sql, Azure Synapse, Azure Data Factory, MLops, Spark, Databricks, Azure, Python, Airflow, Ai, Prefect, Dask

Deep Learning, python, Machine Learning, Natural Language Processing, Tensorflow, gen ai