Google Cloud Vertex AI Machine Learning Engineer
The Opportunity Fueled by the growth of services for movies and TV shows, Studio Services, LLC is the world’s leading cloud software for cast, crew, vendor, and productions. It’s a great time to join Studio Services LLC.
| Qualifications •Minimum 8 years of ML algorithms/solutions and expertise in Cloud platforms and IT systems which are necessary to execute data science algorithms in BAU client systems and processes •Candidates should have experience in developing machine learning methods, including familiarity with techniques inclustering, regression, optimization, recommendation, neural •Bachelor’s degree is mandatory •Experienced on Google Cloud Vertex AI; Google Cloud Machine Engineering Professional Certified •Demonstrable knowledge building and scaling ML pipelines and engineering (KubeFlow, TFX etc.) | Responsibilities •An expert ML Engineer with an eye for AI •The work: Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure analytics deliverables meet client needs •Prototype and demonstrate products for clients in customer environments •Use your judgment to craft solutions to complex problems or seek guidance as needed •Report on your progress regularly in writing and face-to-face •Stay up-to-date on new products that clients could use |
Full description google Cloud Vertex AI Machine Learning Engineer Our client is one of largest retailers in the world. Yet their IT department is nimble and dynamic and works with cutting-edge technologies. They are currently trying to fulfill an urgent role for a Sr. Machine Learning Engineer Position logistics:
• 12 Months+ Contract.
• Position location: Santa Fe, NM – Remote for now; Onsite post covid JOB
DESCRIPTION: QUALIFICATIONS:
• Minimum 8 years of ML algorithms/solutions and expertise in Cloud platforms and IT systems which are necessary to execute data science algorithms in BAU client systems and processes.
• Candidates should have experience in developing machine learning methods, including familiarity with techniques in clustering, regression, optimization, recommendation, and neural • Bachelor’s degree is mandatory.
• Experienced on Google Cloud Vertex AI; Google Cloud Machine Engineering Professional Certified.
• Demonstrable knowledge of building and scaling ML pipelines and engineering (KubeFlow, TFX etc.) RESPONSIBILITIES:
• An expert ML Engineer with an eye for AI. You want to change how the world works and lives by taking AI out of the lab and into everyday life.
• The work: Develop custom models based on an in-depth understanding of underlying data, data structures, and business problems to ensure analytics deliverables meet client needs.
• Prototype and demonstrate products for clients in customer environments.
• Use your judgment to craft solutions to complex problems or seek guidance as needed
• Report on your progress regularly in writing and face-to-face.
• Stay up-to-date on new products that clients could use.
