Find a jobRecruiters

ML & Cloud Infastructure Engineer

Exclusive opportunity

Onsite

ML & Cloud Infastructure Engineer

OpenArc, LLC.

ML & Cloud Infastructure Engineer

Skills

Google Cloud PlatformDockerPythonGolangPyTorchMachine LearningAIAWSKubernetesApache AirflowAzure

15 days ago

Share this opportunity

Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.

Important information


Contract type:

Permanent

Location:

Belmont, CA, USA

Work mode:

Onsite

Published on:

12 October 2026

What they need


OpenArc - Empowering Your Career. As a leading IT staffing firm, we are dedicated to connecting talented professionals with your ideal opportunities. We are currently seeking a qualified ML & Cloud Infastructure Engineer to join our client’s organization and contribute to their ongoing success.

Job summary

We’re looking for an experienced ML & Cloud Infrastructure Engineer to join our team. As an early member, you will play a pivotal role in architecting scalable cloud infrastructure for our AI and data pipelines. You'll need to thrive in a fast-paced startup environment where you'll wear multiple hats and have a direct impact on our product's evolution. Ideally, you have a proven track record of developing and deploying high-performance ML and cloud pipelines in production, and you're passionate about pushing the boundaries of what's possible in robotics with AI.

Responsibilities:

  • Develop and deploy scalable AI training and validation pipelines in the cloud.
  • Spin up distributed pipelines for data ingestion, pre-processing, training and evaluation.
  • Deploy monitoring and CI/CD pipelines.
  • Enable large-scale evaluation of AI models via cloud-based metrics.
  • Enable large-scale evaluation of autonomy software and models via simulations in the cloud.
  • Optimize performance, I/O and GPU utilization.
  • Build tooling and dashboards for rapid experimentation, orchestration and visualization.
  • Work with other teams to integrate cloud tooling into workflows.

Requirements:

  • Experience deploying high-performance ML pipelines in production.
  • Proficient in Python and comfortable with C++/Go.
  • Experience with ML frameworks like PyTorch.
  • Experience with IO and data-loading workflows, including formats like Parquet, HDF5, TFRecord etc.
  • Experience with deploying on cloud platforms like AWS, GCP or Azure.
  • Experience with tooling like Docker, Kubernetes, and Airflow.
  • Should be comfortable taking ownership of tasks with light supervision.
  • Must have excellent problem-solving skills.

At OpenArc, we prioritize your career success and strive to build exceptional technical teams for our clients. By understanding your experience and aspirations, we ensure to present you with rewarding and fulfilling opportunities.

As an employee of OpenArc and our clients, you will be eligible to participate in a comprehensive benefits package.

OpenArc is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Other offers great for you!

These companies are also looking for great profiles

Skiils

Machine Learning Engineer / MLOps Senior

Freelance

Paris, France

Hybrid

Skills

LLMs / Large language modelsDockerPythonPyTorchMachine LearningAWSKubernetesMLOpsCI/CD

4 months ago

Quick apply

Mobiskill

Machine Learning Engineer

450

Freelance

Remote

Top Recruiter

Skills

PythonPyTorchMachine LearningAIMachine Learning Engineer

7 days ago

Quick apply

Theodo

Machine Learning Engineer / ML Engineer

480 - 580

Freelance

Paris, France

Hybrid

Skills

AIData Scientist

1 day ago

Quick apply

The best place to find your next move

© 2026. All Rights Reserved.

Talents

Find a job

Create a profile

Solutions and tools