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AI LEAD L1

4 days ago Hyderabad, India

City: Hyderabad

State/Province: Telangana

Posting Start Date: 2/26/26

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description:

Job Description

Data Specialist (Gen AI, LLM, NLP)

Primary Responsibilities:

AI Project Execution & Delivery:

  • Lead the end-to-end execution of high-priority AI/ML projects, ensuring they are delivered on time, within budget, and to the highest technical standards.
  • Translate the enterprise AI strategy and product roadmaps into detailed project plans, technical specifications, and actionable backlogs for engineering teams.
  • Serve as the primary technical point of contact for project stakeholders, managing dependencies, mitigating risks, and communicating progress effectively.

Team Leadership & Technical Mentorship:
  • Provide direct line management, technical leadership, and mentorship to a team of senior AI/ML Engineers and Data Scientists.
  • Foster a culture of engineering excellence, collaboration, and continuous improvement within the team and enterprise.
  • Conduct code reviews, design sessions, and technical deep dives to ensure the quality, scalability, and robustness of AI solutions.

Required Qualifications:
  • Proven AI/ML Leadership: 6-11 years of experience in the AI/ML field, with at least
  • Experience with AI Governance: Direct, hands-on experience successfully navigating an internal AI ethics, risk, or governance review process for multiple projects.
  • Strong Project Management Skills: Demonstrated ability to manage complex technical projects from conception to deployment, with expertise in agile methodologies.
  • Expertise in the ML Lifecycle: Deep, practical knowledge of the entire machine learning lifecycle, from data acquisition and feature engineering to model deployment and post-launch monitoring.
  • Hands-on MLOps Experience: Proven experience building and managing CI/CD pipelines and MLOps workflows for machine learning.
  • Strong Technical Foundation: Proficient in Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud platforms (AWS, Azure, or GCP).

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Preferred Qualifications:
  • Advanced Degree: A Master's or B.Tech in a relevant quantitative field.
  • Healthcare Domain Experience: Experience developing and deploying AI/ML solutions within a healthcare or other highly regulated environment.
  • Product Mindset: Experience working closely with product managers to define and deliver AI-powered features and products.
  • Expertise in GenAI Operations: Specific experience in the operational challenges of deploying and managing LLM-based applications in production.
  • Mentorship and Talent Development: A passion for coaching and developing technical talent, with a track record of growing senior engineers into tech leads.


Mandatory Skills: Python for Data Science .

Experience: 5-8 Years .

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

Client-provided location(s): Hyderabad, India
Job ID: Wipro-139788
Employment Type: OTHER
Posted: 2026-02-24T18:43:59

Perks and Benefits

  • Health and Wellness

    • Parental Benefits

      • Work Flexibility

        • Office Life and Perks

          • Vacation and Time Off

            • Financial and Retirement

              • Professional Development

                • Diversity and Inclusion