Position:

AI/ML Support Engineer Location:

Baton Rouge, LA (Hybrid)

Duration:

Longterm Need 5+ years of experience.

Job Description :

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:

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Compute Fundamentals:

Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration.

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Cloud Technologies:

Experience with cloud platforms like Google Cloud Platform, AWS, and Azure, including their AI/ML services.

• Generative AI Experience with LLMs and Generative AI and Google Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini)

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ML Development:

Experience with Machine Learning model development and deployment.

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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:

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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.

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AIML Experience:

+2 Experience with Machine Learning model development and deployment.

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Troubleshooting Experience:

3+ years of experience in troubleshooting, diagnosing, and resolving complex issues.

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Support Experience:

Familiarity with support methodologies, case lifecycles, and analytical skills for breaking down issues. Regards Mark R

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