AI/ML Support Engineer

Hirextra -World's First Staffing Aggregator; Baton Rouge (LA); On-site; USD 70,000 - 100,000; Full time

Job summary

Hirextra -World's First Staffing Aggregator seeks an AIML Support Engineer to assist teams in identifying and recruiting qualified candidates while applying AIML expertise to real-world challenges. You will focus on data analysis, data pipelines, and model deployment in production.

Ideal candidates bring hands-on AIML experience, troubleshooting skills, and proficiency with cloud platforms (GCP/AWS/Azure), ML frameworks (PyTorch, TensorFlow), and large language models.

Qualifications

• AIML experience in ML model development and deployment.
• Troubleshooting, diagnosing, and resolving complex issues (3+ years).
• Familiarity with support methodologies and case lifecycles.

Responsibilities

• Troubleshoot model-related issues and optimize performance.
• Provide expert support for AIML platforms and pipelines.
• Collaborate with teams to identify and recruit qualified AIML candidates.

Skills

Compute fundamentals

Cloud technologies

Generative AI & LLMs

ML development

AIML frameworks

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

• 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

• 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.