Duties and Responsibilities:

• Internal R&D to Develop and Deploy AI Systems:
• Design, build, and deploy AI and generative AI systems tailored to client needs.
• Utilize and fine-tune open-source models to create generative AI applications.
• Actively engage with Capgemini’s AI COE communities across APAC and beyond, and the open-source community to stay updated on the latest advancements and incorporate them into projects.
• Have an understanding of, and be confident enough to (attempt to) develop AI systems capable of handling multi-modal data and performing agentic tasks.
• Client Work
• Work closely with clients to understand their requirements and deliver customized AI solutions.
• Collect requirements from internal or external departments and provide the analysis.
• Participate in the High-level design and data collection and cleaning. The data can be structured, unstructured.
• Knowledge of and experience with NoSQL DBs like MongoDB and data platforms like databricks and / or with industry standard ETL techniques will be a big plus.
• Knowledege of and experience with transformer based models and generative AI models, including pre-trained large foundation models, fine-tuning of models using techniques like LoRA etc. is a plus.
• Design and implement the API for AI model and applications integration and of Web applications / interfaces that utilize the AI models will also be a plus.
• Data science
• Data Management: Collect, preprocess, and analyze large datasets to train and evaluate models.
• Performance Optimization: Continuously monitor and improve the performance of AI models.
• Documentation and Reporting: Maintain comprehensive documentation of models, processes, and project progress. Prepare and present reports to stakeholders.

Requirements and Qualifications:

Technical Expertise:

• Knowledge of / Proficiency in
• Python
• TensorFlow
• PyTorch,
• Flash Attention
• Other relevant AI/ML frameworks
• Experience with Open-Source Models with demonstrated ability to leverage and fine-tune open-source models for specific applications
• Community engagement skills with a track record of active participation in the open-source community contributing to and utilizing community resources.
• Multi-modal data handling experience in working with multi-modal data (text, image, audio, etc.) and developing models that integrate these data types.
• Agentic AI development knowledge of developing AI systems capable of autonomous decision-making and task execution.

Soft skills

• Problem-solving skills with strong analytical ability to troubleshoot complex issues.
• Communication skills with excellent verbal and written communication style to effectively engage with clients and collaborate with team members from diverse backgrounds.
• Ability to work well in a team environment and contribute to collective goals.

Educational Profile:

• Master’s or PhD in Machine Learning, Artificial Intelligence, Computer Science, or related fields. Strong academic background with a focus on AI/ML technologies preferred.
• Additional relevant certifications in AI/ML from recognized institutions are a plus.