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We are seeking a talented and experienced AI & Generative AI Developer to join our team and help us create groundbreaking generative AI models and applications. In this role, you will work closely with our team of data scientists, machine learning engineers, and researchers to develop, implement, and optimize generative LLM, and foundational models. The ideal candidate will have a strong background in artificial intelligence, machine learning, NLP, and deep learning, with a passion for innovation and a drive to push the boundaries of generative AI technologies.
Job Responsibility:
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.)