ENGAGEMENT OF SPECIALIST CADRE OFFICERS ON FIXED TERM EMPLOYMENT BASIS
(ADVERTISEMENT NO: CRPD/SCO/2026-27/30)
ONLINE REGISTRATION OF APPLICATION & PAYMENT OF FEES: FROM 19.10.2026 TO 09.11.2026
- Nature of Engagement : - Fixed Term Employment
- VACANCY : - 1
- Age in years (As on 30.09.2026) : - 40-55 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 15+ years experience in Banking / BFSI/ Information Technology sector.Of which at least 3+ Year Senior leadership experience in AI, Analytics, model oversight, governance and business transformation. This experience must include working with multiple stakeholders across business, operations, IT, etc. as well as a sizeable team of Analytics/AI experts. Individual contributor role experience does not count towards these three years.Preferred:Leadership experience in Scheduled Commercial Banks, fortune 500 firms 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 : -
- a. Experience in leading implementations/operations ofMachine learning, Deep Learning and Time series modelsArtificial Intelligence solutions Generative/Agentic AIVisualization/dashboards using tools including Power BI/Tableau.MLOps, AutoML and Auto-adaptive machine learning.Data Warehouse, Data Lake and Lake houses.Batch/Real Time analytics and model deployment.
- b. Understanding of concepts including:Data Virtualisation, Data Fabrics, Data MeshCloud native deployments (Kubernetes based)Gen AI / Agentic AI deployment and securityREST API integrations, MCP, OpenAI API, etc standardsDeploying systems at scale (1,00,000+ users at least)GPU acceleration of workloadsc. Certifications or experience working with multiple Banking functions including risk, marketing, automation/efficiency, etc.
Detail description of Job Profile, Role, Responsibilities, and Functions : -
- Job Profile: Lead the implementation, operations of Machine Learning / Artificial Intelligence/ Natural Language Processing / Parsing tools to improve the operational efficiency and mitigate risk. Designing and implementation of Big data scalable workflow systems including Enterprise AI Platform (for generative and agentic AI) Delivery of AI solutions at scale with operational and analytical integrations including Cloudera Data Lakehouse, enterprise API platforms, etc. Deliver new functionality for the internal production platform and the client delivery platform. Closely collaborate with Product Management, Business, Quality Assurance, Data Operation and IT Infrastructure. Identify potential major usecases and lead the Banks adoption of such transformation
- KRAs:
- Key Responsibilities: Overseeing Business Collaboration in the form of permanent control towers for AI/data products. Ensuring seamless integration into formal business processes, set up of SOPs/Operational Guidelines, etc. Ensuring compliance with internal and regulatory norms Monitoring performance and impact of deployed AI solutions. Optimizing AI-related processes for efficiency and effectiveness. Ensuring alignment with Banks governance standards, top management directives, etc. Collaborating with business units for AI integration into operational workflows. Programs for Operational Staff Training and Adoption of AI Evaluating ongoing risk, performance in models Oversees independent model validation team Professional Compliance Culture & development of best HR practices. Participation in various events & liaison with Industry experts, Educational Hubs, Consultants & Tech Companies.
- Annual CTC Upper Range In Lakhs : - Upper range - Rs. 160.00 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..