Urgent position::Senior Machine Learning Engineer at Remote, Remote, USA |
Email: [email protected] |
From: Anand Singh, TEK Inspirations LLC [email protected] Reply to: [email protected] Senior Machine Learning Engineer Remote or Onsite 100% remote, Atlanta based preferred but not required. Visa: ANY Cost Rate: Market Client update: Candidates must have the exp with Infrastructe and Scaling with MlOps Must HaveRequirements Minimum years of experience 10 years Time Zone Considerations Eastern time zone work hours required (Technical & Functional) 7 years of hands-on experience within data architecture and data science domains (5 if you have consulting experience) Must have experience creating continuous integration and continuous delivery (CI/CD) activities to release ML code and ML pipelines into a Production environment Must be able to provide machine learning case studies Client facing and/or consulting experience a must Expert level experience with Azure Databricks, Spark, and experience improving MLops maturity including data quality, speed of deployments, and scale of the model once it goes to production. Ability to estimate data engineering work and cloud data architecture implementation effort with high degree of accuracy Experience documenting business, technical and functional data requirements Ability to create executable roadmaps used for future implementations. Experience documenting data strategy to improve current state Nice To Have/Bonus Skills Azure Data Certifications DBT - Great Expectation Databricks - Delta Live Tables AutoML Eventing Certifications(Required or Nice to Have) Azure Data or AIcertification nice to have Software Platform Knowledge Azure AKS,Databricks, Spark, Regards, Anand Singh Technical Recruiter | IT Healthcare & Informatics TEK Inspirations LLC 13573 Tabasco Cat Trail, Frisco, TX 75035 |Email: [email protected] Desk :- 469 - 638 -7409 | Whatsapp :- +91 8922075829 Keywords: continuous integration continuous deployment machine learning information technology Texas |
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Wed Feb 22 03:45:00 UTC 2023 |