Apache Spark, ELT, Tensorflow, Pytorch, Gcp, Azure, Python, AWS, Etl, LangChain, Hugging Face, Pinecone, FAISS, ChromaDB, LlamaIndex

Cuda, Python Scripting, Tensorflow, Test automation, Pytorch, Opencl, Deep Learning, Yocto, Ubuntu, Performance profiling, hip, ROCm validation, Linux expertise, LLMs, Optimization

System Design, Application Development, Python, Testing, Databricks, Kubernetes, Cloud-native deployment patterns, Operational stability for ML or data-intensive systems, CI/CD, Containerisation

probability , triton , Jax, Tensorflow, Pytorch, Docker, Ml, Azure ML, MLops, Kubernetes, TD3, DL, TensorRT, CNNs, ONNX, ppo, Optimization, RL agents, linear algebra, CQL, Transformers, Ai, AKS, sequence models, SAC, CI-CD, RL, ARO

PostgreSQL, Docker, FastAPI, Kubernetes, Python, LangChain, embedding strategies, pgvector, observability practices, RAG pipeline architecture, prompt lifecycle management, vector database selection, Azure OpenAI, LangGraph, LLM engineering, retrieval strategies, context management strategies, LLM evaluation

containerisation with Docker, secrets management, pipeline automation with Azure DevOps, networking and load balancing, relational and non-relational databases, developing production-grade backend services using Python, asynchronous programming frameworks, cloud provisioning frameworks such as Terraform or CloudFormation, infrastructure-as-code, LLM API gateway technologies, container orchestration such as ECS Fargate, identity and access management technologies, observability and monitoring tools, multi-provider integration across major cloud AI platforms

, Natural Language Processing, C, Java, Machine Learning, Pytorch, Python, R, Agentic frameworks, reinforcement learning, Audio Processing, Generative AI models, Recommendation Systems

Cloud Computing, Machine Learning, Data Visualization, Big Data, Python, Sql, Statistical Analysis, Deep Learning