Domain Architect

Key Responsibilities Design, implement, and deploy advanced AI models to solve challenging business and customer problems.

Collaborate with global teams to identify data requirements, integrate datasets, and develop AI solutions tailored to specific needs.

Conduct experiments in areas such as computer vision, forecasting, and statistical modeling to deliver impactful results.

Optimize models for performance and scalability, utilizing techniques like transfer learning, fine-tuning, and advanced architecture design.

Mentor junior team members and contribute to fostering a culture of AI excellence. Stay current with AI advancements and apply emerging techniques to enhance solutions and processes.

Required Skills 46 years of relevant hands-on experience in machine learning, and deep learning with a strong focus on computer vision.

Proficiency in Python and frameworks such as TensorFlow or PyTorch, and Scikit-learn. Experience with modern AI architectures, including Transformers, and foundation models.

Knowledge of NLP, and multimodal AI systems is a plus. Familiarity with cloud AI platforms (e.g., AWS, Azure, Google Cloud) and deployment pipelines.

Experience with annotation tools for data preparation (e.g., LabelMe etc.). Proficiency with Linux systems, Git, and CI/CD workflows

Understand agent-based AI systems and advanced paradigms like Agentic AI. Hands-on experience in multimodal AI and fine-tuning large language models (LLMs). Proven ability to work on dynamic, research-oriented projects