Ml Infrastructure Engineer (Remote)

About the job

Adamas Knight is recruiting for an AI-for-Good start up that is building integrated platform for AI engineers to collaboratively develop, deploy, and manage ML and analytics in a federated and privacy-focused manner focused predominately in the biotech domain.

The Role

As a ML Infrastructure Engineer, you will be identifying, designing, and implementing components to the platform to manage ML models throughout their full lifecycle. Your expertise will be essential to the product’s success and will greatly influence how organizations safely interacts with AI and data.

We are looking for someone that deeply understands ML Engineers and will enhance their full end-to-end lifecycle on the ML Platform. You’ll design and develop the infrastructure necessary to deploy large-scale models across distributed datasets. To drive meaningful change in the secure collaboration on AI and data management globally, you will draw upon your deep expertise and understanding of MLOps technologies, principles, and tools.

You will need:

• Deep understanding of the full lifecycle of an ML solution
• Hands-on experience in large-scale ML model development
• In-depth knowledge of how tools in the ML and MLOps landscape can be integrated to create a top-tier ML infrastructure
• Proficiency in Python programming for both ML and automation tasks
• Background in Computer Science or related fields

Nice to have:

• Experience with multiple cloud providers
• Experience with Git/Git flow concepts, as well as DevOps with built-in security, infrastructure-as-code and CI/CD

Benefits/Perks:

• Attractive Compensation: Enjoy a competitive salary and the opportunity to invest in your future with early-stage equity
• Remote-first working: Benefit from working wherever you work best
• Comprehensive Benefits: Enjoy a wellbeing budget, mental health support, a remote work allowance, a co-working stipend, and a learning and development fund

Adamas Knight champions inclusive culture and adheres to equal opportunity employment principles. We do not discriminate based on race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status. We highly value diversity and encourage applicants from various backgrounds to apply.