AI & Machine Learning Engineering

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.

Python (TensorFlow, PyTorch, scikit-learn), Natural Language Processing (NLP), Chatbot Development, Large Language Models (LLMs), Fine-tuning AI Models, APIs, Integrations (Salesforce, Jira, Freshdesk), SQL, NoSQL, Data Processing, Feature Engineering, ML Model Deployment, Cloud Services (AWS, GCP, Azure).

Backend Development, Java, System Design, APIs, Scalability, Reliability, Performance, Problem-Solving, Cloud Platforms (AWS, Azure, Google Cloud), Microservices Architectures, Infrastructure as Code, CI/CD Pipelines, Data-oriented Applications, Data-oriented APIs, Communication, Collaboration, SaaS, B2B

Backend Development, Enterprise Solutions, Java, Spring Boot, Cloud Technologies, Scalable Systems, High-performance Services, APIs, Production Environments, AI Integration, ML Capabilities, Collaboration (Product, GTM, R&D, external stakeholders), Problem-Solving, Research, Multiple Projects, Different Technical Stacks, SaaS, B2B

DFT, ATPG tools, hierarchical scan, mBIST tools, pre-silicon environments, System-Verilog, Python, Perl, tcl, sh, Production testing debug, Yield analysis, DFT insertion in synthesis, DFT modes static timing checks

Neural Network Image Enhancement, Video Cameras, ISP Algorithm Development, Deep Learning Solutions, Data Collection, Training, Programming (Strong), Simulation Environments, C++, Linux, Academic Literature Analysis