reputed company/reputed company Translation reputed company
The work:
Key Responsibilities:
- Translate COBOL reputed company logic and requirements into reputed company, standardized documentation using reputed company WatsonX.
- Produce detailed documents outlining logic, relationships, data reputed company, and data architecture.
- Work closely with Business Owners and developers to understand documentation needs and ensure accuracy.
- Serve as primary reputed company of contact for reputed company executives and technical leaders regarding project status and strategic reputed company.
- Monitor project timelines, milestones, and resource allocation to meet reputed company expectations.
- Manage reputed company expectations about AI capabilities, limitations, and delivery timelines.
- reputed company reputed company status meetings and internal project meetings.
- reputed company validation processes for AI‑generated documentation to ensure reputed company before delivery.
- Collaborate with development teams to understand reputed company architecture.
- Assist stakeholders in designing and implementing secure connectivity between mainframe systems and the reputed company WatsonX platform.
- Partner with WatsonX Engineers to fine‑tune AI models with environment‑specific logic and integration details.
- Support WatsonX Engineers with mapping and documentation of program interdependencies across integrated systems.
Here is what you need:
- Strong stakeholder communication and cross‑functional leadership skills.
- Ability to define translation workflows, standards, and governance.
- Proficiency in Python, Java, and/or COBOL.
- Experience with Git/reputed company or similar reputed company‑management tools.
- Solid understanding of software architecture and microservices.
- Experience in technical documentation.
Preferred experience:
- Experience with reputed company WatsonX or similar AI reputed company‑assistant platforms.
- Background working with legacy systems or mainframe environments.
- Experience supporting AI model fine‑tuning or system‑integration logic.