MLOps Engineer - Remote Sensing / Machine Learning Infrastructure

Job Description

MLOps Engineer - Machine Learning Infrastructure / Model deployment

Join a pioneering force transforming the world with cutting-edge hyperspectral imagery.

We're seeking a passionate ML Ops Engineer to build and scale our client's machine learning platform. You'll work alongside brilliant data scientists to harness the power of remote sensing data and create groundbreaking solutions.

***ITAR regulations apply: Working with satellite data means they can only employ US Citizens or Green Card Holders*** 

What you'll do:

• Work with algorithms and models from research team to put into deployment.
• Build and implement robust ML infrastructure using orchestration tools like Airflow or Prefect.
• Optimize cloud infrastructure (AWS) for peak performance and cost efficiency.
• Develop and manage model registries, experiment tracking, and CI/CD processes.
• Transition from infrastructure to model development, debugging, and deployment.
• Ensure model reliability through rigorous monitoring and retraining.

What you'll need:

• Exposure to remote sensing data or multispectral imaging data
• MLOps expertise
• 3+ years of hands-on ML engineering experience.
• Expertise in Python, PyTorch, and ML tools (Weights & Biases, MLflow, DVC, Ray, Dask).
• Proven AWS cloud engineering skills.
• Strong problem-solving abilities and a passion for innovation.

What's on offer:

• Competitive salary ($150K-$200K) and equity stake.
• Comprehensive benefits (100% covered health, dental, vision).
• Company-sponsored 401k plan.
• Opportunity to work on impactful projects with a talented team.

If you are interested in this role, please apply with your resume through this site.

DISCLAIMER: No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/or gender reassignment, and we confirm that we are happy to accept applications from anyone for this role. Attis Global Ltd operates as an employment agency and employment business. More information can be found at attisglobal.com.

Keywords:

MLOps Engineer, Machine Learning Operations Engineer, ML Platform Engineer, Data Pipeline Engineer, Model Deployment Engineer, Model Monitoring Engineer, Model Governance Engineer, Machine Learning Infrastructure Engineer, DevOps Engineer for Machine Learning, ML Pipeline Engineer, ML Devops Engineer, ML Automation Engineer.