Account Manager-Application Development-Business Intelligence

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

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

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

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