Quick overview
Job description
Title - AI/ML Support Engineer Location - Baton Rouge, Louisiana Duration - Two-month contract-to-hire Summary- We are looking for an experience AI/ML Support Engineer, empowering teams to effectively identify and recruit qualified candidates. Ideal candidates should possess a strong foundation in AI/ML, 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 AI/ML 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 AWS, and Azure, including their AI/ML services.
Generative AI: Experience with LLMs and Generative AI and 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.
Must Have- 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.
AI/ML 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- G Machine Learning Engineer certification is desired. G Cloud Associate Cloud Engineer (ACE) certification is required. The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually - as applicable.
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