GEN AI – AI ML- Mainframe

2 days ago


Hyderabad, Telangana, India UJustBe Enterprise Full time

Job Type: Contract

Job Duration: 6 months – 1 year

Location: Hyderabad

Domain: Healthcare

Work Mode: Hybrid

Work Timings: 9:00 AM – 5:00 PM IST (General Shift)

Experience Required: 7 to 10 years of relevant experience

Notice Period: Immediate joiners

Interview Process

  • L1 – Initial Screening
  • L2 – AI-Based Assessment
  • L3 – Technical Interview (Round 1)
  • L4 – Technical Interview (Round 2)
  • L5 – Final Round

About Karuyaki

Karuyaki is a catalyst for holistic business transformation. Since 2012, we've helped organizations turn ideas into impact and scale with purpose.

Our signature offering, Program Management & Completion (PMC) ensures every initiative is built to scale, delivered end-to-end, and aligned with real business goals.

We cut through complexity, accelerate outcomes, and deliver what matters.

We scale. We ensure. We complete.

About PMC (Program Management & Completion)

PMC provides a structured, end-to-end delivery framework that ensures every initiative remains aligned to business outcomes, execution discipline, and measurable impact. It goes beyond traditional project management by strengthening governance, cadence, clarity, and delivery readiness across the lifecycle.

About the Role

We are hiring an experienced AI/ML & Generative AI Engineer with a strong background in mainframe technologies. The role involves building industry-grade AI/ML and GenAI solutions while also supporting integration with existing enterprise mainframe systems. Candidates should be comfortable working in hybrid mode and collaborating closely with the cross functional teams for delivery assurance.

Educational Qualification

  • Bachelor's degree in Computer Science, Information Technology, Electronics, or related technical field.
  • Master's degree (MCA / M.Tech) is preferred but not mandatory.

Key Responsibilities

AI/ML & GenAI Responsibilities

  • Design, build, and deploy end-to-end AI/ML models for real-world use cases.
  • Develop and optimize Generative AI solutions for text, image, and multimodal workloads.
  • Build Agentic AI systems with autonomous task execution and decision-making capabilities.
  • Write scalable, clean, and efficient Python code for AI/ML pipelines.
  • Work with cross-functional teams to implement AI-based enhancements in business workflows.
  • Stay current with latest trends in LLMs, transformers, diffusion models, and emerging AI technologies.

Mainframe Responsibilities

  • Develop and maintain applications using COBOL, Assembler, and PL/I.
  • Work with IMS and DB2 databases in both development and support environments.
  • Utilize JCL and mainframe utilities for batch and online processing.
  • Support debugging, performance tuning, and production fixes.
  • Assist in integrating AI/ML outputs with mainframe systems wherever applicable.

Skills & Technical Expertise

AI/ML & GenAI Skills

  • Strong programming skills in Python, including TensorFlow, PyTorch, Scikit-learn.
  • Hands-on expertise with LLMs, diffusion models, and transformer-based architectures.
  • Working knowledge of Agentic AI systems, multi-agent workflows, and orchestration frameworks.
  • Experience with model fine-tuning, prompt engineering, and AI deployment pipelines.
  • Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.

Mainframe Skills

  • Proficiency in COBOL, Assembler, PL/I programming.
  • Experience with IMS hierarchical databases and DB2 relational databases.
  • Good understanding of JCL and mainframe operational processes.

Ideal Candidate Profile

  • Strong analytical and troubleshooting abilities.
  • Ability to collaborate and communicate effectively with multiple teams.
  • Comfortable working in hybrid model and managing priority-based deliverables.
  • Mature stakeholder handling and disciplined documentation practice.

Job Type: Contractual / Temporary

Contract length: 6 months

Pay: ₹160, ₹180,000.00 per month

Experience:

  • SAP: 6 years (Required)

Work Location: In person


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