Machine Learning, Tensorflow, Data Science, Nlp, Pytorch, Databricks, Python, AWS, Generative AI, Model Lifecycle Management, Vector Databases, GitHub Actions, Agentic AI, Embeddings, RAG Architecture, Transformers, Responsible AI, Monitoring

snowflake , Machine Learning, Apache Spark, Sql, Devops, Nlp, MLops, Docker, Predictive Modeling, Python, AWS, agentic engineering tools, Polars, MLflow, reranking techniques, DuckDB, vector stores, LLM-powered applications, dbt, CI CD pipelines, Statistics, Palantir Foundry, LLM observability tooling

Microservices, Tensorflow, Pytorch, Docker, Flask, Python, AWS, Apis, Gcp, FastAPI, Azure, Kubernetes, vector search, embeddings, AI orchestration frameworks, Hugging Face, MLflow, CI CD, Azure OpenAI, event-driven architecture, LangChain, LLMs, Scikit-learn, Anthropic, prompt engineering, RAG, OpenAI, LlamaIndex

Nlp, MLops, Azure, Python, experiment tracking, API deployment, NLU, vector databases, container orchestration, GDPR compliance, model serving

Yaml, Cloud Infra, Python, Rigor, Agent building, LLMs

Nlp, MLops, Azure, Python, experiment tracking, API deployment, NLU, vector databases, container orchestration, GDPR compliance, model serving

Cursor, Nlp, Distributed Systems, GitHub Copilot, LLMs

Tensorflow, Unsupervised Learning, Kafka, Machine Learning, Deep Learning, Pytorch, XGBoost, Distributed Systems, Python, Kubernetes, Docker, Spark, containerisation, scikit-learn, ML ecosystem, gradient boosting, Flink, LLM APIs, clean code, MLflow, embedding-based systems, ClickHouse, supervised learning, LightGBM, model evaluation, RAG architectures, gRPC APIs, prompt engineering

Nlp, Python, Azure, MLops, GDPR compliance, API deployment, model serving, NLU, container orchestration, vector databases, experiment tracking

Typescript, React, Cursor, Python, Kotlin, LangChain, LLMs, Claude, Knowledge Graph, industrial data, embeddings, supply chain data, prompt engineering, AI ML Engineering, Code Copilot