Machine Learning Engineer

Machine Learning Engineer

$160,000- $200,000 + Equity

Remote (Must be in the US)

My Client is leading the transformation of complex data science challenges into seamless, deployable solutions through our cutting-edge AI platform. Trusted by government and enterprise clients, they are recognized as pioneers in AI-driven insights across diverse sectors including healthcare, finance, and beyond.

As a Machine Learning Engineer, you will spearhead the optimization and deployment of machine learning models within their robust AI platform. Collaborating closely with the Data Science team, you'll ensure that models are efficiently integrated into production environments using the proprietary SDK. Your contributions will directly impact how clients interact with and derive value from their data, driving innovation across multiple industries.

THE ROLE

• Refine and optimize machine learning models developed by our Data Scientists for deployment.
• Utilize SDK to integrate models into the AI platform, ensuring scalability and reliability.
• Collaborate with product managers to translate model outputs into actionable insights for end-users.
• Contribute to the enhancement and maintenance of production-level models.

YOUR SKILLS AND EXPERIENCE

• Proficiency in Python; familiarity with data stack tools such as Databricks, Spark, and Snowflake.
• Experience in software engineering or development, with a focus on model deployment and productionization.
• Strong understanding of MLOps principles and methodologies (desired).
• Effective communicator with the ability to explain technical concepts to diverse stakeholders.
• Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
• Security clearance is not required but is a plus

BENEFITS

As a Machine Learning Engineer, you can expect to earn anywhere from $160,000-$200,000 (depending on experience) and highly competitive benefits including equity.

HOW TO APPLY

Please register your interest by sending your Resume to Cassie Wandell via the Apply link on this page

KEYWORDS

Machine Learning | Infrastructure | AI | Python | SQL | Software Engineering| Deep Learning | Pytorch | Tensorflow