What are the responsibilities and job description for the AI/ML Platform Architect position at Mindlance?
Leading Fortune 100 - BFSI domain client
Years of exp. required : 15
Role : AI / ML Platform Engineer
Contact : 12 to 24 months (Possible conversion to FTE)
Location : Concord, CA
Hybrid working model – 3 days each week onsite
Our client is looking for a talented AI / ML Platform Engineer with a strong emphasis on Google Cloud Platform (GCP) to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining AI / ML infrastructure and solutions that leverage the full power of GCP. Your expertise will be crucial in enabling our data scientists and machine learning engineers to develop, deploy, and scale AI models efficiently and effectively.
Key Responsibilities :
- Build robust AI / ML platforms on GCP, ensuring scalability, reliability, and performance.
- Set up and maintain GCP services such as AI Platform, BigQuery, Cloud Storage, Compute Engine, and Kubernetes Engine.
- Develop automated workflows and pipelines for model training, validation, deployment, and monitoring.
- Work closely with data scientists, ML engineers, and other stakeholders to understand their needs and provide optimal solutions.
- Continuously optimize the AI / ML infrastructure for cost, performance, and security.
- Implement monitoring solutions to ensure the health and performance of AI / ML systems, and troubleshoot any issues that arise.
- Maintain comprehensive documentation of the architecture, workflows, and best practices.
Preferred Qualifications :
Desired Qualifications :
EEO :
Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on – Minority / Gender / Disability / Religion / LGBTQI / Age / Veterans.”
