DGM (Data Engineering, Model Application Dev and AI Ops)

State Bank of India (SBI); Mumbai; On-site; INR 11,000,000 - 12,000,000; Full time

Job summary

State Bank of India (SBI) invites applications for engagement of Specialist Cadre Officers on Fixed Term Employment for a senior data/AI leadership role. The incumbent will lead data engineering, AI/ML model development and AI Ops, building enterprise data pipelines and APIs, and guiding platform governance.

The role requires extensive experience in data platforms, real-time processing, ML model deployment, and cross-functional collaboration with Risk, IT, and business units.

Qualifications

• Mandatory: BE/BTech/MTech in CS/IT/Electronics/Electrical & Electronics or equivalent/MSc Statistics/CS/MA Statistics/MStat/MCA.
• Preferred: MBA/PGDM with finance specialization; ML/AI/NLP/web crawling/NN certifications.

Responsibilities

• Lead data engineering, AI/ML application development and AI Ops.
• Design, develop and operate enterprise data pipelines, APIs and model-serving platforms.
• Drive deployment, monitoring, rollback, recalibration and lifecycle management for AI/ML models and AI applications.
• Ensure high availability, security, and performance of production data and AI platforms.
• Coordinate with stakeholders across Business, Operations, Risk, IT, Data, Analytics and AI teams.

Skills

Data engineering

AI/ML

MLOps

Kubernetes

API development

Education

BE/BTech/MTech in CS/IT/Electronics/Electrical & Electronics

MSc Statistics/CS / MA Statistics / MStat / MCA

MBA/PGDM with finance specialization

Tools

CI/CD pipelines

APIs

Job description

ENGAGEMENT OF SPECIALIST CADRE OFFICERS ON FIXED TERM EMPLOYMENT BASIS

(ADVERTISEMENT NO: CRPD/SCO/2026-27/30)

• State Bank of India invites online applications from eligible Indian citizens for engagement to the Specialist Cadre Officers Posts on Fixed Term Employment Basis.
• Nature of Engagement : - Fixed Term Employment
• VACANCY : - 1
• Age in years (As on 30.09.2026) : - 35-50 yrs.

BASIC QUALIFICATION : -

• Mandatory:B.E. / B.Tech / M.Tech in Computer Science / IT /Electronics / Electrical & Electronics / Electronics & Communication or equivalent / M Sc (Statistics/Computer Science)/MA (Statistics)/M Stat /MCA from recognized University/ Institution.
• Preferred:MBA / PGDM or equivalent with specialization in financeAny certification in ML /AI/Natural Language Processing, web Crawling and Neural Networks.

WORK EXPERIENCE : -

• Mandatory: Minimum 10+ years experience in the Banking/BFSI/ Information Technology sector, of which at least 2+ years must be in a senior leadership role involving data engineering, AI/ML application development, MLOps/AI Ops, enterprise integration and technology transformation.The senior leadership experience (2+ years) must include:Working with multiple stakeholders across Business, Operations, Risk, IT, Information Security, Data, Analytics and AI functions.Leading a sizeable team of data engineers, application developers, ML engineers, platform engineers, DevOps/MLOps professionals or solution architects. Experience solely in an individual-contributor role shall not count towards the required two years of senior leadership experience.Leading the design, development, deployment and operation of enterprise-scale data pipelines, AI/ML applications, APIs and model-serving platforms.Leading production operations covering availability, performance, capacity, security, incident management, change management and disaster recovery.Experience in some of the following areas (Business Domain):Enterprise data platforms and analytical applicationsReal-time and batch data processingAI/ML model application development and integrationMLOps, LLMOps and AI platform operationsCustomer-facing or employee-facing digital applicationsRisk, fraud, compliance, operations or marketing analyticsHigh-volume transaction and event-processing systemsTechnology vendor and systems-integrator management
• Preferred:Experience in Scheduled Commercial Banks, /BFSI is preferred.Experience in delivering data and AI platforms at enterprise scale, including secure integration with core banking and other critical systems, shall be preferred.Training & Teaching experience will not be counted for eligibility.Note: Candidates are required to produce up-to-date and full Experience Certificate, unambiguously indicating:(i) Nature of duties,(ii) Dates and duration of experience,(iii) Level / position,(iv) Responsibilities etc. issued by the employer(s).However, if the candidate is unable to submit an Experience Certificate on the lines indicated above, any document unambiguously indicating the experience, nature of duties and the period claimed may be submitted and it would be considered on merit at the discretion of the Bank and the decision of the Bank shall be final.

SPECIFIC SKILLS : -

• Data engineering, ETL/ELT, streaming, quality, metadata and orchestration.AI/ML, APIs, microservices and event-driven integrations.MLOps/LLMOps, CI/CD, Kubernetes, automation and observability.Secure, scalable and highly available AI applications.Generative and agentic AI, including RAG, vector databases, MCP and guardrails.Business Domain Leadership:Enterprise data and AI products and services.AI integration with core banking, lending, CRM, digital channels and workflows.Real-time decisioning, alerts, recommendations and straight-through processing.Production support, release, incident and performance management.Stakeholder, system integrator, OEM and vendor coordination.Platform Expertise:Enterprise data and AI architecture: warehouses, lakes, lakehouses and virtualisation.Distributed processing, streaming, feature stores, model registries and vector databases.MLOps/LLMOps, DevSecOps, CI/CD, testing and environment controls.Cloud/on-premises deployment, Kubernetes, GPUs, APIs and identity controls.Security, privacy, encryption, vulnerability, audit and secrets management.Observability, resilience, backup, disaster recovery and performance engineering.Enterprise architecture, standards, procurement and vendor governance.

Detail description of Job Profile, Role, Responsibilities, and Functions : -

• Job Profile:Lead the Banks data engineering, model application development and AI Ops function and establish an enterprise roadmap for scalable, secure and reliable data and AI delivery.Lead the design, development and operation of enterprise data pipelines, AI/ML applications, model-serving services, APIs and reusable platform capabilities.Coordinate with GITC and relevant technology teamsEstablish standards for data pipelines, application development, APIs, MLOps, LLMOps, DevSecOps, testing, documentation and release management.Integrate analytical models and AI applications into core banking, digital channels and operational workflows through enterprise data, API and event-streaming platforms.Establish automated deployment, monitoring, rollback, recalibration and retirement processes for AI/ML models and generative or agentic AI applications.Ensure high availability, scalability, security, resilience and performance of production applications, pipelines and AI platforms.Implement observability and service-management processes covering availability, latency, throughput, data quality, model performance, incidents, capacity and cost utilisation.Lead performance optimisation, capacity planning, GPU and compute utilisation, disaster recovery and business-continuity readiness.Ensure compliance with enterprise architecture, information-security, data-privacy, model-governance, audit and regulatory requirements.Manage technology vendors, systems integrators and platform providers, including delivery quality, service levels, security obligations and knowledge transfer.Collaborate with Data Science, Information Security and IT teams to prioritise and deliver high-value data and AI use cases.Build and lead a multidisciplinary team of data engineers, application developers, ML engineers, platform engineers, DevOps/MLOps professionals and solution architects.Drive standardisation, reuse, automation and continuous improvement across the Banks data engineering and AI application ecosystem.
• KRAs:Coordinate with GITC for deployment of AI applicationsManage infrastructure for AI development and deployment (e.g., data lakes,compute resources).Ensure reliability and scalability of AI applications.Oversee integration with existing systems.Maintain application performance.Oversee data collection, processing, and storage.Lead deployment of AI models to address business problems.Coordinate with data scientists and engineers.
• Annual CTC Upper Range In Lakhs : - Upper range - Rs. 120.00 Lacs
• Fixed Term Employment Period : - 3 Years. May be renewed for further period of 02 years at the discretion of Bank at mutually agreed terms and conditions (Total engagement period should not exceed 05 years).
• Place of Posting : - Mumbai or anywhere in India, in case of any administrative requirement..