Senior AI/ML Engineer - Vice President
Citi (company site, opens in a new tab)10+ yrsChennai, PuneHybridDirect career pageEst. 45–85 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and development of AI/ML solutions using microservices, RESTful APIs, and distributed architectures in a large-scale financial services environment.
- Oversee integration and deployment of AI foundational models, machine learning frameworks, and data engineering pipelines, ensuring end-to-end lifecycle management including production APIs and monitoring.
- Drive cloud-native architecture adoption, enterprise-scale agile delivery (SAFe), and DevOps practices for improved scalability and observability.
Minimum Requirements
- 10+ years of experience in microservices, distributed systems, and AI/ML development technologies (Python, PyTorch, TensorFlow, Java, Spring AI).
- Proven expertise in data engineering (ETL/ELT, data storage, batch/stream processing) and big data technologies.
- Hands-on experience with public cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, CI/CD).
- Experience in large-scale financial services enterprise environments.
Ideal Candidate Profile
- Senior-level technologist with deep experience in AI/ML frameworks combined with cloud-native and data engineering skills tailored for financial services.
- Strategic operator skilled in enterprise agile practices (SAFe) and managing end-to-end delivery of complex AI/ML and distributed system projects.
- Experienced in stakeholder and executive communications, capable of translating technical solutions into business impact in a regulated enterprise context.