Github, Datadog, New Relic, Azure Functions, Docker, FastAPI, Python, Azure DevOps, LangChain, AWS Bedrock, Pinecone, Azure OpenAI, Semantic Kernel, OpenAI API, AutoGen, OpenTelemetry, FAISS, Google Vertex AI, Azure AI Studio, Azure AI Search, Application Insights, Azure Monitor, Weaviate

bedrock , containerization , Ml, AWS, Kubernetes, Python, Git, Llm, AI technologies, LLM Orchestration frameworks, embedding models, Agentic frameworks, Langchain, RAGs, Generative AI models, LangGraph

Java, Rest API Development, Docker, Design Patterns, Python, LangChain, LangGraph, AI-assisted coding, AI Agent LLM-based development

Nlp, Distributed Systems, Cursor, GitHub Copilot, LLMs

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

Sql, Computer Vision, Tensorflow, AWS, Pytorch, Kubernetes, Python, Azure, Gcp, Docker, Nlp, LangChain, Hugging Face, LLMOps, Generative AI

Tensorflow, MLops, AWS, Pytorch, Python, Anthropic, large language models, OpenAI, vector databases, Weaviate, Hugging Face Transformers, Cohere, data engineering for ML model evaluation, cloud-native environments, Pinecone, FAISS, prompt engineering

Databricks, Machine Learning, "Senior AI Engineer", Llm, Lead AI Engineer

Java, data mining, Tensorflow, Pytorch, Data Visualization, Keras, Python, Machine Learning Algorithms, deep learning technologies, R, Statistical Modeling, sci-kit

data preparation , DataEngineer, Feature Engineering, Model Deployment, Senior Data Engineer with AI/ML, S3 Glue EMR Redshift Lambda, ? AWS SageMaker experience, ? Kafka or Kinesis for real-time streaming, ? MLOps and CI/CD for ML pipelines, ? Power BI integration with cloud-based data platforms and large-scale datasets