An oil and gas producerHiring

Senior AI/ML Platform Engineer

  • Denver, CO
  • Senior
  • Posted 13 days ago
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In one line

Hands-on platform engineering role building the shared foundation for production AI/ML across a large energy company, working with Databricks, Snowflake, AWS and Palantir.

About the role

Suits an engineer who likes building reusable systems and paved roads rather than one-off models. The goal is repeatable, secure and observable AI/ML delivery that other teams can pick up and run with.

At a glance

Pay
Not stated in the posting
Location
Denver, CO
Seniority
Senior
Skills
Palantir, Snowflake, Databricks, AWS, MLflow, CI/CD, SageMaker, Vertex AI
Posted
22 Oct 2026
Last checked
2 Nov 2026

What you will do

  • Build and run AI/ML platform services across Databricks, AWS, MLflow, model registries, serving and vector stores
  • Create reusable patterns for deployment, monitoring, access control and production support, plus CI/CD and secrets automation
  • Set standards for tiered access, cost control and observability, and support batch, streaming and API deployment

What they look for

  • A degree in engineering, computer science or similar, or the equivalent in work experience
  • Hands-on production AI/ML platform work in the cloud, with at least one of Databricks, SageMaker, MLflow, Azure ML or Vertex AI
  • Practical CI/CD, infrastructure automation, environment and secrets management, and access controls
  • A grasp of cloud-native architecture, APIs, containers, compute and storage patterns, and runtime observability

How Keywordise applies for you

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Claude

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Connector URL
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ChatGPT

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Connector URL
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Muse

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Message for Muse
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Muse is available in the US only for now.

Prompt
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Questions about this job

Where is this job based?

The posting lists Senior AI/ML Platform Engineer as a role based in Denver, CO, United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a senior role. The posting asks for: a degree in engineering, computer science or similar, or the equivalent in work experience; hands-on production AI/ML platform work in the cloud, with at least one of Databricks, SageMaker, MLflow, Azure ML or Vertex AI; practical CI/CD, infrastructure automation, environment and secrets management, and access controls. Skills it names include Palantir, Snowflake, Databricks, AWS.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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An oil and gas producerDenver, CO
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