AI Engineer: Build Scalable ML Pipelines in Production

Luna Data Solutions, Inc.; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Health, dental, vision, and life insurance

Short-term disability insurance

Opportunity to work with cutting-edge technology

Job summary

A state agency in Austin is seeking an AI Engineer to develop scalable AI/ML solutions. This long-term contract involves gathering requirements, developing proof-of-concepts, and implementing AI pipelines. Candidates should have Python experience, AI/ML production knowledge, and familiarity with cloud platforms like AWS or Azure. The position offers competitive compensation and a chance to work on innovative technologies in a supportive team environment.

Qualifications

• 1-3+ years of production experience in Python.
• Built and deployed 1-3+ ML models serving real users.
• Experience with AWS, Azure, GCP or OCI for ML workloads.
• Docker and Kubernetes experience for DevOps.
• Proficiency in SQL and NoSQL/vector databases.
• Proficient in Bash and PowerShell for automation.

Responsibilities

• Gather and document AI solution requirements from stakeholders.
• Develop AI proof-of-concepts and transition prototypes into production.
• Design and implement scalable AI pipelines for applications.
• Train, fine-tune, and validate AI models.
• Write clean, efficient code and scripts for AI workflows.
• Conduct testing and quality assurance of AI models.

Job description

A state agency in Austin is seeking an AI Engineer to develop scalable AI/ML solutions. This long-term contract involves gathering requirements, developing proof-of-concepts, and implementing AI pipelines. Candidates should have Python experience, AI/ML production knowledge, and familiarity with cloud platforms like AWS or Azure. The position offers competitive compensation and a chance to work on innovative technologies in a supportive team environment.