Senior Machine Learning Engineer

Akkodis is seeking a Senior Machine Learning Engineer with a client in Chicago IL 60606-Hybrid for 4-months contract. Title: Senior Machine Learning Engineer Location: Chicago IL 60606-Hybrid Contract: 4-month contract Pay Range: $85/hr. -$95/hr. (The rate may be negotiable based on experience, education, geographic location, and other factors) Job Description We are seeking an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that our guests, members, customers, and internal users leverage to transform the guest experience and drive efficiencies across the operations of our business. In this role, you will design and implement algorithmic product architectures to bring our machine learning models to life across the full lifecycle of the product, including data ingestion, ML processing, and results delivery/activation. This role will work cross-functionally with various data science teams, data engineering teams, and data architecture teams. The ideal candidate can serve as both solutions architect as well as hands-on implementation engineer and guide the team towards best-in-class algorithmic product implementations. Applying the latest techniques and approaches across the domains of data science, machine learning, and AI isn’t just a nice-to-have, it’s a must. Roles and 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. Experience and qualifications: • 5+ 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 • Position will not require customer-facing interactions. Education: • Master’s degree in computer science, software engineering, or related fields required Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave, including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance