Junior – Senior ML Ops Engineer

Our client is a rapidly growing Business Consulting Company that is rivalling its competitors and leading the way through this turbulent market. Serving fortune 500 companies in building data driven solutions depending on client needs.

They are looking for Junior to Senior level ML Ops Engineers to unite the disciplines of Data Science, Data Engineering, Machine Learning, and DevOps to produce an efficient and scalable process.

The ideal candidate is a problem solver and natural team player. An individual that positively impacts their environment, uniting the team in creating solutions seamlessly with less risk and more reliability.

Responsibilities:

• Contribute to full ML/ Data Science Life Cycle. From design to deployment ensuring efficiency and scalability for ML projects.

• Developing and Maintaining Continuous Integration/ Continuous Delivery (CI/CD) ML Pipelines.

• Model optimization, maintenance, and compliance.

Requirements:

• Minimum of a Masters Degree in a STEM, or related field.
• Minimum of 2-5years experience working in a data science or machine learning role (preferably in consulting, finance, or insurance.)
• Experience managing the ML Ops lifecycle.

Why?
Join a company that supports your individual growth and taking your career to the next level. A community with shared values such as creativity, authenticity, and boldness. 

• Remote work and hybrid options.
• 10% Travel.
• Competitive salary and benefits.

Compensation:
Base compensation: $100,000-$160,000.

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