Systems Integration Advisor

Pipeline RR - AIML L3 Exp 6-10 YrsSummary This profile outlines the desired skills and experience for an AIML Support Engineer, empowering teams to effectively identify and recruit qualified candidates. Ideal candidates should possess a strong foundation in AIML, machine learning, and natural language processing, with a specific emphasis on data analysis, data pipelines, and model deployment. They should be capable of troubleshooting model-related issues, optimizing model performance, and providing expert support for various AIML platforms.Technical Skills: Compute Fundamentals: Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration. Cloud Technologies: Experience with cloud platforms like GCP, AWS, and Azure, including their AI/ML services. Generative AI Experience with LLM and Generative AI and Google Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini) ML Development: Experience with Machine Learning model development and deployment. AIML Frameworks: Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.Experience: Troubleshooting Code Experience: 2 years of experience reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design. AIML Experience: +2 Experience with Machine Learning model development and deployment. Troubleshooting Experience: 3+ years of experience in troubleshooting, diagnosing, and resolving complex issues. Support Experience: Familiarity with support methodologies, case lifecycles, and analytical skills for breaking down issues.Certifications Google Machine Learning Engineer certification is desired. Shift : 24/7Work Model : Work at office Night shift : RemotePosting Date:Department:IS Staff Aug - 1493050025