ML Platform Engineer @Veracity
Artificial Intelligence
Salary unspecified
Remote Location
Employment Type full-time
Posted 1mth ago

[Hiring] ML Platform Engineer @Veracity

1mth ago - Veracity is hiring a remote ML Platform Engineer. πŸ’Έ Salary: unspecified πŸ“Location: India

Role Description

Turing is looking for people to join us in building ML platforms for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization heading a team of other Turing engineers across different skill sets.

  • Evaluate and select appropriate cloud services for each stage of the ML lifecycle
  • Design and implement the overall architecture of the MLOps platform
  • Set up automated pipelines for data preparation, model training, and deployment
  • Implement version control for code, data, and models
  • Ensure the platform is scalable, secure, and compliant with relevant regulations
  • Provide tools and interfaces for data scientists to easily leverage the platform
  • Continuously optimize the platform for performance and cost-efficiency

This role is crucial in bridging the gap between data science and operations, enabling organizations to efficiently develop, deploy, and maintain machine learning models at scale.

Qualifications

  • 10+ years of professional experience in building applications using cloud services
  • Prior experience in building Machine Learning platforms using cloud services
  • Deep knowledge of cloud platforms like AWS, Google Cloud Platform, or Azure, including their machine learning and data services (Azure preferred)
  • Experience with CI/CD pipelines, infrastructure as code, and containerization technologies like Docker and Kubernetes
  • Understanding of ML workflows, model training, and deployment processes
  • Familiarity with data pipelines, ETL processes, and data storage solutions
  • Strong programming skills, particularly in languages commonly used in ML like Python
  • Ability to architect scalable, reliable systems that integrate various services
  • Expertise in automating workflows and processes across the ML lifecycle
  • Knowledge of best practices for securing ML pipelines and ensuring regulatory compliance
  • Experience setting up monitoring and logging for ML systems
  • Ability to work with data scientists, software engineers, and other stakeholders

Company Description

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ML Platform Engineer @Veracity
Artificial Intelligence
Salary unspecified
Remote Location
Employment Type full-time
Posted 1mth ago
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