Artificial Intelligence Engineer - R&D (3-6 yrs)

Designation : AI Engineer (R&D).

A Leading IT Company.

Location : Delhi.

Work from Office.

CTC Upto : 45LPA(Depending on the last drawn package).

Years of experience : 3+ years of experience in Artificial Intelligence(R&D).

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) :

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.