Machine Learning Engineer

Job Description

SENIOR MACHINE LEARNING ENGINEER | 6+MONTHS | FORTUNE 500 | CHICAGO, IL (HYBRID - ONSITE)
• Senior Machine Learning Engineer
• 6+months
• FORTUNE 500 COMPANY
• Local to Chicago preferred
• Any visa except OPT EAD
• PhD preferred
• $115-$125 per hour (W2)

Position Responsibilities
• Partner with data scientists to design workflows/architectures that activate ML models and maximize their impact, such as real-time streaming use-cases and offline batch optimizations.
• Partner with data scientists to develop prototype solutions of algorithmic products leveraging appropriate AWS services with appropriate consideration for scale and latency where applicable.
• Implement and productionize final solutions via infrastructure-as-code pattern.
• Implement data processing workflows to enhance our Feature Store with impactful data including appropriate data cleansing/imputation logic.
• Enhance existing algorithmic products architecture/workflow as needed to maximize impact of the algorithmic product.
• Partner with data engineering team to ensure data science data needs are being delivered in the appropriate format/cadence required for maximum impact.
• Stay up to date with latest design patterns and AWS services with respect to Machine Learning Engineering.
• Partner with data architecture, data governance, and security team to ensure solutions meet required standards.

The ideal candidate demonstrates a commitment to core values: respect, integrity, humility, empathy, creativity, and fun.

Experience And Qualifications
• 10+ years of implementing software product solutions in a cloud environment with a focus on algorithmic/machine learning products, hospitality experience not required
• Expertise in AWS cloud services
• Infrastructure as a Service (IaaS)
• 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
• Position will not require customer-facing interactions.

Education
• Master’s degree in computer science, software engineering, or related fields required
• PhD Preferred

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