Omnidian is hiring a
Senior Machine Learning Operations Engineer

Summary

The job is for a Machine Learning Operations professional at Omnidian, a growth-stage company focused on sustainable energy solutions. The role involves leading the development of model deployment infrastructure, collaborating with cross-functional teams, and ensuring efficient processes for model deployment, monitoring, and maintenance.

Requirements

• Proven ability to translate domain business problems into machine learning solutions
• Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, Statistics, or a related field or equivalent experience
• Strong software engineering pedigree with the ability to write production-ready code
• Proficiency in Python, Java, C++, or other relevant programming languages
• Experience in deploying machine learning models in production environments using tools like Docker, Kubernetes, and cloud platforms (e.g. AWS, DataBricks)
• Expertise in CI/CD pipelines, monitoring tools, and best practices for maintaining model deployment systems

Responsibilities

• Lead the development and optimization of model deployment infrastructure
• Collaborate with cross-functional teams to integrate model services into Omnidian’s core technology
• Ensure model services are cost-effective, reliable, and scalable
• Enhance and maintain CI/CD pipelines specifically for model deployment
• Develop and enforce model validation, monitoring, and rollback strategies
• Improve and maintain data pipelines that support the efficient deployment and retraining of models

Benefits

• Outstanding benefits including family medical, dental, vision, disability, parental leave, 401(k) administration, thoughtful PTO, and paid sabbatical leave after four years
• Competitive total compensation package including monthly health insurance premiums, quarterly bonuses, and long-term stock options for every employee
• Continuous growth opportunities with up to $500 annual learning reimbursement