Associate Architect - Data, Mobility, UI/UX, Integration & Testing-Data Science-Gen AI Engineer

As an experienced professional with 7 years of experience in implementing ML/AI solutions for enterprise level on Azure/AWS cloud, you will play a crucial role in the following key responsibilities: - Communicate effectively with clients to brainstorm solutions - Conduct research and development primarily on AI/ML implementations - Implement RAG architecture for confidential data use case - Apply deep learning techniques and machine learning experience - Develop and implement generative AI models using state-of-the-art techniques and frameworks - Collaborate with cross-functional teams to understand project requirements and design solutions addressing business needs - Research and experiment with new AI algorithms, architectures, and tools to enhance model performance and capabilities - Stay updated with the latest advancements in AI research and technology and contribute to knowledge sharing within the team - Participate in code reviews, documentation, and knowledge transfer sessions to ensure high-quality deliverables and effective collaboration - Good to have - experience in healthcare and life sciences for relevant projects - Hands-on experience with GenAI and Machine Learning Your qualifications for this role include: - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Strong programming skills in languages such as Python, with experience in data science - Proficiency in generative AI techniques, including GANs, VAEs, and related architectures - Good understanding of machine learning concepts, algorithms, and methodologies - Experience with data preprocessing, model training, and evaluation using large-scale datasets - Excellent problem-solving skills and the ability to work independently as well as part of a team,