Senior Machine Learning Engineer

Job Description

About Arkham

AI is set to transform the way you operate and how your teams work.

But deploying AI models in your operations can be challenging and complex.

Arkham makes it easy and fast.

Our AI Operating System, a suite of seamlessly integrated Data & AI tools, helps our customers unify fragmented systems and solve their toughest operational challenges by leveraging the best AI models—about 5X faster and at a fraction of the cost of internal development.

About the Role

We are looking for a highly skilled and experienced MLOps Engineer to join our team. The ideal candidate will have a strong understanding of machine learning fundamentals and cloud technologies. The successful candidate will also be a team player who is able to work independently and as part of a larger team.

You Will:

• Build an agnostic Machine Learning Platform to automate the training, deployment and monitoring of multiple models.
• Design, develop, and deploy machine learning pipelines.
• Work with data scientists to design solutions and translate them into technical specifications
• Work with the Architecture department to align designed solutions with Architecture vision.
• Stay up-to-date on the latest technologies and trends in machine learning

You Have:

• BS/MS in Computer Science or a related field
• 3+ years of experience in MLOps
• Strong understanding of machine learning
• Experience with:
• Data Wrangler
• Feature Store
• Model training
• Debugger
• Monitor
• Experience with building and deploying machine learning pipelines at scale
• Experience with working in a team environment
• Excellent problem-solving and debugging skills
• Ability to work independently and as part of a larger team