Machine Learning Engineer, Vice President
NatWest Group (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 40–70 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, deploy, and maintain production-grade machine learning, Generative AI, and Agentic AI solutions ensuring scalability and resilience.
- Implement robust MLOps practices including CI/CD pipelines, automated testing, model monitoring, and observability for ML systems.
- Collaborate with data scientists, engineers, and stakeholders to deliver secure, reliable AI/ML products aligned with business strategy and governance requirements.
Minimum Requirements
- Experience delivering complex machine learning and AI solutions into production in modern engineering environments.
- Strong software engineering skills: object-oriented programming, API development, testing frameworks, source control, CI/CD, containerization (Docker, Kubernetes).
- Proficiency in cloud technologies (AWS preferred), Python, SQL, and distributed data processing.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Technical leader with experience mentoring and driving engineering excellence in machine learning and AI projects.
- Familiar with both traditional ML and advanced Generative/Agentic AI development and operations in cloud-native, Agile environments.
- Proactive, capable of translating business needs into scalable AI solutions while ensuring compliance with security, governance, and regulatory standards.