| Senior Machine Learning Engineer|| Hybrid||local to Chicago preferred||Need 12+ years of experience candidates at Chicago, Illinois, USA |
| Email: [email protected] |
| From: Aditya Nath Kaushal, vyze [email protected] Reply to: [email protected] Job Description - Job Title: Senior Machine Learning Engineer Location: Hybrid local to Chicago preferred Duration: 12+ Months Visa: USC/GC Need 12+ years of experience candidates Notes from the manager directly I have had 4 interviews and fallen short...the notes from manger. Our Machine Learning Engineer role requires candidates with more hands-on AWS experience, specifically in building and managing MLOps pipelines. Could you focus on sending over profiles with: Solid AWS skills, Real MLOps experience, including deploying and monitoring ML models, CI/CD, and infrastructure-as-code (CloudFormation or Terraform experience is a plus). This AWS background is essential for the role, so it would be great to see candidates with these strengths. Sr. Machine Learning Engineer must be local must be Machine learning Engineer ./ not data Scientist 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: 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 Position will not require customer-facing interactions. Keywords: continuous integration continuous deployment machine learning information technology green card Senior Machine Learning Engineer|| Hybrid||local to Chicago preferred||Need 12+ years of experience candidates [email protected] |
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| Wed Oct 30 06:26:00 UTC 2024 |