We are looking for an AI / Generative AI Expert with 8–10 years of overall experience to research, develop and implement advanced AI solutions. The role will focus on leveraging existing AI/Generative AI assets, developing innovative solutions and driving the adoption of Generative AI, GPT/LLMs and Agentic AI across business applications.
Key Responsibilities
Reuse and enhance existing AI/Generative AI libraries, platforms, models and assets .
Research and develop novel AI and Generative AI algorithms and techniques .
Design, develop and optimize end-to-end AI/ML solutions for various applications.
Work across Generative AI, NLP, Computer Vision and Machine Learning use cases.
Develop and implement solutions using GPT models, LLMs, RAG and Agentic AI .
Conduct experiments, analyze results and improve model performance, accuracy, scalability and efficiency .
Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
Stay updated with the latest advancements in AI, Generative AI, LLMs and industry trends .
Contribute to the development and adoption of AI/Generative AI best practices, standards and frameworks .
Drive AI innovation and Agentic AI adoption within the organization.
Ensure appropriate application of Responsible AI and AI ethics principles.

Required Skills

8–10 years of overall experience in AI / Machine Learning / Data Science / Artificial Intelligence .
Strong hands-on expertise in Generative AI, GPT Models / LLMs, Data Science and Python .
Strong understanding of Machine Learning, Deep Learning, Neural Networks and Reinforcement Learning .
Hands-on experience with RAG, GANs, VAEs and other Generative AI models .
Strong knowledge of NLP and Computer Vision techniques.
Good understanding of statistics, probability, data mining and data cleaning .
Strong experience with SQL and Python ML packages such as Scikit-learn, XGBoost and Keras.
Experience in building data pipelines and working with at least one cloud platform .
Good knowledge of Git, GitLab and CI/CD .
Familiarity with AI ethics and Responsible AI practices .
Strong analytical, problem-solving, research and collaboration skills.

Qualification
~ B.E./B.Tech or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology or a related field.

AI ML Architect

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