Job Description
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.
Eligibility
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.
Candidate 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.
Somebody with strong coding skills in Python & can build AI Models & deploy it on any cloud Like AWS , AZURE , GCP
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
About Company
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