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.
