Software Engineer ML Ops Java

Overview:
The team is looking to hire a contractorto support machine learning initiatives, specifically focused on deploying and scaling ML models in production.

• Support machine learning operations (MLOps) initiatives

• Help deploy, manage, and scale ML models in production environments

• Work on expanding an existing ML product (smart fulfillment model rollout)

• Collaborate with engineering teams to integrate ML solutions into production systems

• Strong experience in MLOps / ML engineering with Python

• Proven ability to take ML models from development to production

• Background in data and machine learning systems

• Experience with Java (can be secondary to ML expertise, but still required)

• Familiarity with modern AI tooling, especially:

  • GitHub Copilot (preferred)

  • Exposure to tools like Claude is a plus (not required)

• Experience working in enterprise environments

• Exposure to large-scale ML deployments

• Balanced skill set across ML + backend engineering

• Ideally:

  • Stronger on ML/MLOps, with some Java experience

  • OR strong Java engineer with meaningful ML exposure

• Must be dependable and able to work without causing delivery risk

• Type: Contract

• Location: Mexico or Brazil

• Openings:1

• Start: ASAP

• Increased demand due to:

  • Recent ML product launch

  • Expansion to additional regions (e.g., Florida stores)

• Skill set is hard to find and high priority
  Main skills:
  Java
  Python
  Bringing ML models to production
  GCP
  Copilot agent mode for development