Machine Learning Engineer, Vice President
NatWest (National Westminster Bank PLC) (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, deploy and maintain scalable machine learning, Generative AI, and Agentic AI solutions in production, ensuring robustness and security.
- Lead technical efforts and implement MLOps best practices such as CI/CD pipelines, automated testing, model monitoring, and observability.
- Collaborate with data scientists, engineers, architects, and business stakeholders to translate business needs into reliable AI/ML products aligned with business strategy.
Minimum Requirements
- Proven experience delivering complex machine learning and AI production solutions, including Generative AI and traditional ML techniques.
- Strong software engineering skills including object-oriented programming, API development, testing frameworks, and source control.
- Experience with cloud-native development, AWS, Python, SQL, containerization (Docker, Kubernetes), and MLOps practices such as CI/CD and infrastructure as code.
- Work location: Bangalore, India (onsite requirement). Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Technical leader capable of driving ML/AI solution delivery and mentoring others on engineering best practices within an Agile, multi-disciplinary team environment.
- Experienced in production-grade MLOps including orchestration, monitoring, and performance optimization, especially for Generative AI and Agentic AI systems.
- Comfortable engaging with both technical and non-technical stakeholders to effectively communicate complex AI/ML solutions.