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

As an experienced ML/AI professional, you will be responsible for implementing ML/AI solutions for enterprise-level projects on Azure/AWS cloud. You will effectively communicate with clients to brainstorm solutions and conduct research and development primarily focusing on AI/ML implementations. Your role will involve implementing RAG architecture for confidential data use cases, applying deep learning techniques, and developing generative AI models using state-of-the-art techniques and frameworks. Key Responsibilities: - 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, contributing to knowledge sharing within the team - Participate in code reviews, documentation, and knowledge transfer sessions to ensure high-quality deliverables and effective collaboration - Hands-on experience with GenAI and Machine Learning is desirable - Experience in healthcare and life sciences projects is a plus Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field - Minimum of 7 years of experience in implementing ML/AI solutions for enterprise-level projects on Azure/AWS cloud - Strong programming skills in languages like Python, along with data science experience - 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 with the ability to work independently and collaboratively within a team,