Job Title : Data Scientist

Location : Gurugram/Gurgaon

Experience : Between 4-6 years of relevant experience

Work Mode : Hybrid mode

Responsibilities :

- Develop a learning model for high accuracy extraction and validation of documents, e.g. in mortgage industry

- Work with state-of-the-art language modelling approaches such as transformer-based architectures while integrating capabilities across NLP, computer vision, and machine learning to build robust multi-modal AI solutions

- Understand the DigilyticsTM vision and help in creating and maintaining a development roadmap

- Interact with clients and other team members to understand client-specific requirements of the platform

- Contribute to platform development team and deliver platform releases in a timely manner

- Liaise with multiple stakeholders and coordinate with our onshore and offshore entities

- Evaluate and compile the required training datasets from internal and public sources and contribute to the data pre-processing phase.

Expected and Desired Skills :

- Either of the following Deep learning frameworks PyTorch (preferred) or Tensorflow

- Good understanding in designing, developing, and optimizing Large Language Models (LLMs), with hands-on experience in leveraging cutting-edge advancements in NLP and generative AI

- Skilled in customizing LLMs for domain-specific applications through advanced fine-tuning, prompt engineering, and optimization strategies such as LoRA, quantization, and distillation.

- Knowledge of model versioning, serving, and monitoring using tools like MLflow, FastAPI, Docker, vLLM.

- Python used for analytics applications including data pre-processing, EDA, statistical analysis, machine learning model performance evaluation and benchmarking

- Good scripting and programming skills to integrate with other external applications

- Good interpersonal skills and the ability to communicate and explain models

- Ability to work in unfamiliar business areas and to use your skills to create solutions

- Ability to both work in and lead a team and to deliver and accept peer review

- Flexible approach to working environment and hours

Hands-on experience with :

- Python and/or R

- Machine Learning

- Deep Learning (desirable)