Senior Manager

Roles and Responsibilities:

• Experience in implementation of ML/AI solutions for enterprise level on Azure/AWS cloud
• Communicate effectively with clients on brainstorming the solutions
• Conduct research and development majorly on AI/ML implementations
• Implement RAG architecture for confidential data use case
• Apply deep learning techniques and machine learning experience
• Fine tune LLM for optimal performance
• 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 that address business needs
• Research and experiment with new AI algorithms, architectures, and tools to improve model performance and capabilities
• Train, evaluate, and fine-tune generative models using large datasets to achieve desired outcomes
• Optimize model inference and deployment pipelines for efficiency and scalability in production environments
• Stay updated with the latest advancements in AI research and technology and contribute to the 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 to relevant projects
• Leverage MLOps and LLMOps experience to optimize operations
• Act as a hands-on leader with GenAI and Machine Learning experience

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 7+ years of experience in implementing ML/AI solutions for enterprise level on Azure/AWS cloud
• Strong programming skills in languages such as Python, with experience in data science
• Proficiency in generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), 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
• Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders
• Experience in healthcare and life sciences is a plus
• Familiarity with MLOps, AiOps, and llmops is beneficial

Good to have certifications in AI/ML or related fields