The Company is an IT services and digital transformation firm based in Vadodara, Gujarat, established in 2000. With a team of 250+ professionals, it delivers custom software development, AI/ML, cloud (Microsoft Azure), and web & mobile application solutions. The Company is ISO 9001:2015 and ISO 27001:2022 certified and has delivered 500+ enterprise projects globally.

Responsibilities:

• Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as model fine-tuning, General Adversarial Networks (GANs), variational autoencoders (VAEs), and reinforcement learning.
• Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions.
• Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
• Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow.
• Develop and maintain clear and concise documentation of generative AI models, processes, and results.
• Communicate complex concepts and results to both technical and non-technical stakeholders.
• Provide support and guidance to other team members, and contribute to a positive, collaborative working environment.
• Lead the development and deployment leveraging large language models (LLMs) , MCP Server and agentic frameworks such as MAF, Autogen or CrewAI.
• Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability.

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models.
• Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
• Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.).
• Demonstrated experience with generative AI techniques, model fine-tuning, including GANs, VAEs, and reinforcement learning.
• Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies.
• Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team.
• Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.
• Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI.
• Experience with cloud deployments, containerization, and orchestration of AI models.

Note: Due to a high volume of applications, only shortlisted and relevant candidates will be contacted.