AI/ML

Job Summary

AI Engineering Lead

Key Responsibilities

• Lead the design, development, and deployment of

  AI/ML solutions

  with a focus on

  Generative AI and agentic AI models

  .
• Manage and mentor a team of AI engineers, fostering a culture of innovation, collaboration, and continuous learning.
• Develop and fine-tune

  ML models

  , including deep learning, NLP, reinforcement learning, and agent-based systems.
• Work closely with clients to

  understand business needs

  , define AI strategies, and deliver custom AI-driven solutions.
• Architect and implement scalable AI systems that integrate with enterprise applications.
• Stay updated with

  state-of-the-art AI research

  , applying best practices to solve real-world business problems.
• Drive participation in

  AI hackathons

  and industry challenges, fostering a team culture of innovation and experimentation.
• Collaborate with product managers, software engineers, and data scientists to ensure seamless deployment and monitoring of AI solutions.
• Present AI strategies and technical solutions to stakeholders, translating complex AI concepts into business value.
• Ensure AI models are

  ethical, fair, and transparent

  , with proper governance in place.

Required Qualifications

• 5+ years of experience

  in AI/ML development, with at least

  2+ years in a leadership role

  .
• Strong expertise in

  Generative AI (LLMs, diffusion models, transformers, etc.), agentic AI, and ML algorithms

  .
• Proven track record of

  delivering AI solutions

  for clients, including hands-on experience in deploying models into production.
• Experience with frameworks such as

  TensorFlow, PyTorch, LangChain, Hugging Face, OpenAI APIs, and other ML libraries

  .
• Strong programming skills in

  Python, Java, or similar languages

  .
• Familiarity with cloud-based AI/ML platforms (AWS, Azure, GCP) and MLOps practices.
• Experience leading

  AI hackathons

  or similar innovation-driven initiatives.
• Excellent problem-solving skills, with the ability to

  translate business needs into AI solutions

  .
• Strong interpersonal and communication skills, with the ability to explain AI concepts to both technical and non-technical stakeholders.
• Experience working in

  agile development environments

  .