Senior Machine Learning Engineer - Hybrid 3 days onsite in Chicago, IL

Vision Infotech - Chicago, IL

Full-time - Senior

Chicago, IL

About the position

The Senior Machine Learning Engineer will play a crucial role in designing and implementing machine learning workflows and architectures that maximize the impact of ML models. This position involves collaboration with data scientists and data engineering teams to develop and productionize algorithmic products, ensuring that data needs are met and solutions adhere to required standards. The role is hybrid, requiring three days onsite in Chicago, IL, and is a contract position.

Responsibilities

• Partner with data scientists to design workflows/architectures that activate ML models and maximize their impact.
• Develop prototype solutions of algorithmic products leveraging appropriate AWS services with consideration for scale and latency.
• Implement and productionize final solutions via infrastructure-as-code pattern.
• Implement data processing workflows to enhance the Feature Store with impactful data, including data cleansing/imputation logic.
• Enhance existing algorithmic products architecture/workflow as needed to maximize impact.
• Collaborate with the data engineering team to ensure data science data needs are delivered in the appropriate format/cadence.
• Stay up to date with the latest design patterns and AWS services related to Machine Learning Engineering.
• Partner with data architecture, data governance, and security teams to ensure solutions meet required standards.

Requirements

• 10+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products.
• Expertise in AWS cloud services.
• Expertise in Python, SQL, PySpark, Docker.
• Experience with streaming and batch data architectures at scale.
• Experience operating in an Agile Methodology environment.
• Experience with DevOps and CI/CD concepts.
• Excellent communication and teamwork skills.
• Master's degree in computer science, software engineering, or related fields required.

Nice-to-haves

• PhD preferred.
• Hospitality experience not required.