- Job Description: Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 9years 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
- Valuable 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
- 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
- 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
- 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
- Hands-on with GenAI and Machine Learning experience
- Qualifications: 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
- 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
- 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
- Hands-on with GenAI and Machine Learning experience