Support Engineer

Collabera; Baton Rouge (LA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Life insurance

Long-term disability

Short-term disability

Paid parking

Public transit

Paid time off

Sick time

Paid vacation

Paid parental leave

Paid holidays

Job summary

Collabera is seeking an experienced AI/ML Support Engineer in Baton Rouge to empower teams in identifying and recruiting qualified candidates through advanced AI/ML solutions. The role emphasizes data analysis, data pipelines, and model deployment, with a strong focus on troubleshooting and optimizing model performance across platforms.

Qualified candidates will have hands-on experience with ML frameworks, cloud services, and Generative AI tools, plus a background in NLP-related data workflows

Qualifications

• 2+ years of experience in ML model development and deployment.
• 3+ years of troubleshooting complex issues in tech environments.
• Familiar with support methodologies, case lifecycles, and analytics for issue resolution.

Responsibilities

• Provide expert AI/ML support across platforms and services.
• Troubleshoot model-related issues and optimize performance.
• Assist teams in deploying ML models and pipelines in cloud environments.

Skills

Compute fundamentals

Cloud platforms

Generative AI

ML development

ML frameworks

Tools

PyTorch

TensorFlow

JAX

Ray

Job description

• 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-

• 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.

• 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.