Top Tech Jobs & Startup Jobs in Pune

Design, develop, test, debug and maintain VisionPLUS-based banking applications. Implement COBOL programs in CICS/VSAM/JCL, support batch scheduling, use Endevor/Changeman, follow DevOps/Agile practices, support production deployments and incident response, and drive performance improvements.

Develop and maintain VisionPLUS applications on z/OS: design, code, test, perform production incident fixes, participate in code reviews and audits, support batch/online flows and scheme (VISA/MasterCard) compliance, and produce technical/functional documentation.

Lead development and deployment of production ML models and analytics for wealth management and retail banking. Analyze large datasets, design predictive solutions (segmentation, churn, personalization, risk), build data pipelines and feature engineering, monitor model performance, drive MLOps and responsible AI practices, and communicate insights to stakeholders.

The role involves business analysis for chat-based digital journeys in banking, focusing on AI chatbot and voicebot technologies. Responsibilities include requirements gathering and stakeholder collaboration.

The role involves developing automated solutions for guest access management in SharePoint Online, integrating with tools like ServiceNow/JIRA, and maintaining CI/CD processes.

Lead end-to-end delivery of large-scale technology programs, manage project plans, governance, risks, finances, and stakeholder communications, and coordinate cross-functional, distributed teams to ensure timely execution and continuous improvement.

Lead project delivery in capital markets and trading, driving digital transformation and managing cross-functional teams using Agile methodologies.

Administer and optimize Cloudera CDP/CDH platforms; develop and deploy PySpark/Python data processing; build CI/CD pipelines with Jenkins and GitHub/Bitbucket; integrate SAST tools; tune Hive/Impala SQL; monitor platform health, perform upgrades, troubleshoot, and implement security and governance controls.

The Senior Data Engineer will lead requirements gathering, document business needs, manage projects, drive testing, and improve productivity in data engineering applications.

Design, build, train, and deploy AI/GenAI models (NLP and computer vision). Move research models into production via APIs/microservices/cloud, optimize performance, handle large datasets, and collaborate with data scientists and engineers to align solutions with business objectives.