| Senior Machine Learning Engineer-Chicago IL -Hybrid 3 days onsite at Chicago, Illinois, USA |
| Email: [email protected] |
| From: Gaurav Gaur, DMS VISIONS. INC [email protected] Reply to: [email protected] Hi , Hope you are doing well !! I have an urgent position. Kindly go through the Job description and let me know if this would be of interest to you. Please find the job description given below and let me know your interest. Position: Senior Machine Learning Engineer-Chicago IL -Hybrid 3 days onsite Location: Chicago IL -Hybrid 3 days onsite Duration: 6+ Month Job Description. Relocation can work but Chicago local will be preferred. 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. You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about data science. Applying the latest techniques and approaches across the domains of data science, machine learning, and AI isnt just a nice to have, its a must. 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 Hyatt core values: respect, integrity, humility, empathy, creativity, and fun. EXPERIENCE AND QUALIFICATIONS: 5+ 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 Position will not require customer-facing interactions. GAURAV GAUR DMS VISIONS INC. 972-645-9280 | dmsvisions.com/ | [email protected] 4645 Avon Ln, Suite 210, Frisco, Texas 75033, US Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology golang Illinois |
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| Mon Dec 11 21:34:00 UTC 2023 |