AI & Machine Learning Engineering

Agentic AI, software engineering, Python, LLMs, Deep Learning, Generative AI, system design, scalability, and MLOps.

Go programming, backend engineering, distributed systems, microservices, cloud platforms, concurrency, performance optimization, API design.

AI storage software, distributed storage, file systems, parallel I/O, HPC, Linux kernel, C++, and performance.

AI/ML research, Deep Learning, NLP, LLMs, Python, PyTorch/TensorFlow, algorithm development, and MLOps.

Backend development, Python, Go, Java, Node.js, microservices, cloud (AWS, GCP, Azure), databases, CI/CD, and Kubernetes.

Required skills include 7+ years in Backend Software Engineering with 2+ years as a Tech Lead, strong proficiency in Python and FastAPI, experience building microservices and distributed systems on cloud platforms (AWS, GCP, Azure), expertise in designing scalable and highly available systems, and familiarity with databases (SQL/NoSQL), data pipelines, CI/CD, Docker, and Kubernetes.

Python, PyTorch, HuggingFace Transformers, Large Language Models (LLMs), Vision-Language Models (VLMs), Retrieval Augmented Generation (RAG), Deep Learning, Computer Vision, AI Model Deployment.