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Mainframe scheduler with Artificial Intelligenct/Machine learning

Mainframe scheduler with Artificial Intelligenct/Machine learning

Capgemini

4 - 8 years

10 - 14 Lacs

mumbai bengaluru

Posted:1 day ago| Platform:

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Skills Required

mainframes mainframe scheduling jcl cobol vsam opc esp console monitoring batch processing mvs control-m tso ispf tws sdsf zeke ca

Work Mode

Work from Office

Job Type

Full Time

Job Description

Your Role

Guide AI/ML teams in understanding IZWS scheduler behavior and identifying anomaly patterns.

Analyze discrepancies between legacy scheduling systems and the IZWS scheduler.

Define and document resolution logic for scheduling issues and anomalies.

Validate converted schedules to ensure accuracy, consistency, and operational readiness.

Support tracking and reconciliation processes, including report analysis and issue resolution.

Bridge the gap between legacy scheduling platforms and modern AI/ML workflows.

Ensure accurate schedule conversion, anomaly detection, and resolution logic documentation

Your Profile

Strong analytical and problem-solving skills.

Experience with scheduling systems, preferably including IBM Z Workload Scheduler (IZWS).

Familiarity with AI/ML workflows and anomaly detection techniques.

Ability to communicate technical findings clearly to cross-functional teams.

Detail-oriented with a strong commitment to data integrity and continuous process improvement.

Experience in technical documentation and validation of scheduling logic.

Comfortable working in collaborative environments with diverse technical teams.

What will you love working at capgemini

Be part of a global leader in consulting, technology services, and digital transformation thats committed to sustainability, innovation, and making a positive impact on society.

Access world-class training programs, certifications, and mentorship opportunities to continuously evolve your skills and career path.

Work on cutting-edge technologies like AI, cloud, cybersecurity, and data analytics, solving real-world challenges for Fortune 500 clients.

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Mainframe scheduler with Artificial Intelligenct/Machine learning