AI & Machine Learning Engineering

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

C/C++, Embedded Software, Real-Time Firmware, Linux (User/Kernel space), Linux Drivers, Yocto, Gstreamer, V4L2, Hardware Integration, Debugging, Computer Vision, Digital Image Processing, Scripting

C++ (5+ years), Python, AI Frameworks, Dataflow Compiler, Graph Algorithms, Optimizations, Resource Allocation, Mapping, Hardware-Specific Features, Machine Learning Model Structures, Hardware Architecture (Memory, Compute, Bandwidth, Parallelism), Deep Learning Development Frameworks