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Gen AI Lead

EXL

5 - 10 years

Ranchi

Posted: 05/01/2026

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Job Description

Locations: Bangalore/ Gurgaon

Role and Responsibilities:

  • SME for clients: Serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their needs and deliver tailored generative AI solutions.
  • Project Leadership: Lead multiple generative AI projects, ensuring timely delivery and high-quality outcomes. Define project deliverables, timelines, and methodologies.
  • Team Management: Manage and mentor a team of AI specialists, fostering a collaborative and innovative environment.
  • Solution Design: Architect and implement advanced generative AI models, including GANs, VAEs, and transformer-based models, to solve complex business problems.
  • Thought Leadership: Provide strategic insights and thought leadership in generative AI, driving innovation and best practices within the organization.
  • Technical Expertise: Stay abreast of the latest advancements in generative AI and machine learning, integrating cutting-edge technologies into projects.

Qualifications:

  • Educational Background: Master's or PhD in computer science, engineering, mathematics, or related fields from top-tier institutions.
  • Experience: 8+ years of experience in AI and machine learning, with a focus on generative AI, deep learning, and NLP. Proven track record in delivering generative AI projects.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP). Experience with large-scale data processing and model deployment.
  • Certifications: Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, or similar. (Preferred not mandatory)
  • Leadership: Demonstrable leadership ability, with experience managing and mentoring teams.
  • Problem-Solving: Superior problem-solving skills, with a track record of delivering innovative generative AI solutions.
  • Communication: Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Industry Knowledge: Deep understanding of industry trends and challenges in generative AI and machine learning.

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