AI Engineer

Join an exceptional AI team that is redefining the future of customer experiences on a global scale. We are looking for someone who is passionate about AI and enjoys working in a fast-paced, collaborative environment while balancing deep thinking and impactful execution. You should be a creative thinker and a hands-on AI programmer who embraces ambiguity, challenges status quo, and approaches problem-solving with curiosity and resilience. In this role, you will work alongside AI researchers and engineers on cutting-edge applied research projects, continuously pushing the limits of what is possible in AI for improving the world's customer journeys.

ResponsibilitiesCreate experimental setups on cloud instances for investigating AI problems involving tabular data based foundation models and federated learning.Conduct experiments based on the roadmap and prepare/maintain design documents, code and other artifacts associated with the perpetual learning AI framework being pursued.Do rapid prototyping, packaging and deployment of AI models/prototypes as impactful demos on portals / hugging face spaces.Maintain source code and relevant documentation of machine learning models, software prototypes and portal integration API.Prepare compelling technical slides/documents for business & academic leaders.Prepare invention disclosure documents and/or work with IP teams for filing patents.

Qualification and ExperienceMasters in Computer Science or a related discipline (Electrical and/or Computer Engineering, Applied Mathematics, Statistics) with a focus on Artificial Intelligence / Machine Learning.A CGPA of 7.5/10 or above in UG as well as PG level (in case of percentage, 70% or above)Candidates from institutes of national importance, or from internationally reputed universities would be preferred.2-4 yrs of hands-on AI software engineering experience in the industry.

Note:

We will consider recent PhDs/Masters with exceptional profiles but lower industry experience for short-term contractual positions which can be converted to full-time employment based on performance.

Candidate Profile

Should have

hands-on experience in the following:Building models using tabular machine learning, deep learning and transformers in python.Rapid prototyping frameworks (gradio, streamlit etc.), packaging and deployment of AI models on public cloud infrastructure like AWS, GCP and AzurePreparing compelling technical slides/documents for business & academic leadersPreparing invention disclosure documents and/or filing patents, OR publishing academic papers

Nice to have :Experience in implementing research papers and creating experiment setupsExperience in building transformer based models in PyTorch/huggingface ecosystem, fine-tuning foundation models, implementing retrieval-augmented generation (RAG) applications etc.Experience in building federated learning models using frameworks like PySyft, Flower or FATEExperience in contributing to open-source AI/ML projects

Note:

This role would be based out of Delhi, and will involve close collaboration with our research partners at Delhi

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