Flytxt | AI Engineer
2 months ago
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.
Responsibilities
- Create 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 Experience
- Masters 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 Azure
- Preparing compelling technical slides/documents for business & academic leaders
- Preparing invention disclosure documents and/or filing patents, OR publishing academic papers
Nice to have :
- Experience in implementing research papers and creating experiment setups
- Experience 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 FATE
- Experience 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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