Why this role stands out
This hybrid AI/ML Support Engineer role offers a competitive hourly rate and the chance to work with cutting-edge generative AI technologies, fostering significant skill development. You'll thrive here if you have a strong foundation in AI/ML, cloud platforms, and troubleshooting complex technical issues, making this an excellent opportunity to advance your career.
Quick overview
Job description
Title - AI/ML Support Engineer
Location - Baton Rouge, Louisiana
Duration - Two-month contract-to-hire
Pay range - $20-$30/hr.
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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