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.
Required skills
- 10+ years of professional experience in building applications using cloud services. Prior experience in building Machine Learning platforms using cloud services.
- Cloud expertise: Deep knowledge of cloud platforms like AWS, Google Cloud Platform, or Azure, including their machine learning and data services (Azure preferred).
- DevOps skills: Experience with CI/CD pipelines, infrastructure as code, and containerization technologies like Docker and Kubernetes.
- Machine learning knowledge: Understanding of ML workflows, model training, and deployment processes.
- Data engineering: Familiarity with data pipelines, ETL processes, and data storage solutions.
- Software engineering: Robust programming skills, particularly in languages commonly used in ML like Python.
- System design: Ability to architect scalable, reliable systems that integrate various services.
- Automation: Expertise in automating workflows and processes across the ML lifecycle.
- Security and compliance: Knowledge of best practices for securing ML pipelines and ensuring regulatory compliance.
- Monitoring and logging: Experience setting up monitoring and logging for ML systems.
- Collaboration: Ability to work with data scientists, software engineers, and other stakeholders.
Roles & responsibilities
- 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 int
📌 ML Platform Engineer (India)
🏢 Veracity
📍 India
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