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Hadl.ai

ML Systems Engineer (AI Operations)

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  • Posted 8 hours ago
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Job Description

About Hadl

Hadl is an AI research accelerator lab. We build AI powered diagnostic tools for aquaculture and help leading companies develop market ready AI.

Our team are computer vision and data experts, with cornerstone products that help farmers understand plankton, water quality, and shrimp health in real farm environments.

Our work sits at the intersection of biology, data, and real world operations. We move fast, test often, and focus on practical impact. You will work closely with engineers, biologists, and product teams to turn complex data into reliable AI systems.

We collaborate openly, learn continuously, and value ownership. No rigid hierarchies. Curious people solving hard problems together.

About the Role

You will own how models move from training to production. Through your mastery and obsession with deployment stability and robust in-field usage, working with our team, you will make deployments reliable, repeatable, and hopefully boring and un-eventful!

You will reduce friction in releases, manage model versions, and ensure systems behave predictably in real world environments.

Your work will imact the trajectory of the company, your decisions will guide our stratgey and you'll be impacting real clients, with real, meaningful problems.

What You'll Do

  • Build and maintain ML deployment pipelines.
  • Manage model versioning, releases, and rollbacks.
  • Improve reliability of training to production flows.
  • Support monitoring, validation, and failure handling.
  • Work closely with ML and computer vision engineers.
  • Reduce manual work and deployment risk.

What We're Looking For

  • Experience deploying ML models.
  • Strong Python and systems mindset.
  • Comfortable with Docker and basic CI.
  • Understanding of ML workflows end to end.
  • Structured, reliable, and detail focused.
  • Calm under pressure and delivery focused.

What We Offer

  • Ownership of AI reliability and deployment.
  • Real world ML systems in production.
  • Close collaboration with core ML teams.
  • A culture focused on clarity and execution.
  • Equity participation for the right candidate.

Salary: 15 to 40 million IDR

Equity: Available

Role: Full time

Location: Jakarta, Mega Kuningan

More Info

About Company

Job ID: 137861941