Machine Learning Engineer, Vice President
NatWest Group (company site, opens in a new tab)Bengaluru, GurugramOn-siteDirect career pageEst. 40–80 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.
- Implement and champion MLOps practices including CI/CD pipelines, automated testing, model monitoring, and observability within an Agile, multi-disciplinary environment.
- Collaborate with data scientists, engineers, architects, and business stakeholders to deliver scalable, secure AI solutions aligned with business strategy and regulatory requirements.
Minimum Requirements
- Proven experience delivering complex machine learning and AI solutions into production environments.
- Strong software engineering skills including cloud-native development, Python, SQL, API development, testing frameworks, and source control.
- Experience with MLOps practices, containerization (Docker), orchestration (Kubernetes), and cloud platforms such as AWS.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced technical leader capable of mentoring others and advocating engineering best practices in ML and AI systems.
- Comfortable working in Agile, collaborative teams translating business requirements into scalable ML/AI products.
- Proficient in both traditional machine learning techniques and cutting-edge Generative and Agentic AI technologies, including operational monitoring and evaluation methodologies.