Senior Machine Learning Engineer::Chicago, IL- Hybrid::Long Term-NO H1-10+ at Remote, Remote, USA |
Email: [email protected] |
From: Amit, SUS [email protected] Reply to: [email protected] Position: Senior Machine Learning Engineer Location: Chicago, IL- Hybrid Duration: Long Term Phone and skype JOB DESCRIPTION: 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 product architecture/workflow as needed to maximize the impact of the algorithmic product. Partner with the 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 the latest design patterns and AWS services concerning 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 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 The position will not require customer-facing interactions. EDUCATION: Masters degree in computer science, software engineering, or related fields required Regards, Amit Panthri Technical Recruiter E: [email protected] Keywords: continuous integration continuous deployment machine learning Illinois |
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Fri Dec 08 22:45:00 UTC 2023 |