IDFC FIRST Bank is hiring for the position of Associate Data Scientist in Mumbai, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | IDFC FIRST Bank |
| Position | Associate Data Scientist |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | 2020/ 2021/ 2022/ 2023/ 2024/ 2025 |
| Experience | Freshers (0 – 2 Years) |
| Location | Mumbai, India |
Key Responsibilities:
Primary Responsibilities:
- Collaborate with cross-functional teams to design, develop, and deploy Generative AI solutions, with a strong focus on Large Language Models (LLMs).
- Architect, train, and fine-tune state-of-the-art LLMs (e.g., GPT, BERT, T5) for diverse business applications, ensuring alignment with project objectives.
- Deploy and scale LLM-based solutions, integrating them seamlessly into production environments while optimizing for performance and efficiency.
- Develop and maintain machine learning workflows and pipelines for training, evaluating, and deploying Generative AI models using Python or R, and leveraging libraries such as Hugging Face Transformers, TensorFlow, and PyTorch.
- Collaborate with product, data, and engineering teams to define and refine use cases for LLM applications, including conversational agents, content generation, and semantic search.
- Design and implement fine-tuning strategies to adapt pre-trained models to domain-specific tasks, ensuring high relevance and accuracy.
- Evaluate and optimize LLM performance, addressing challenges such as prompt engineering, inference time, and model bias.
- Manage and process large, unstructured datasets using SQL and NoSQL databases to ensure smooth integration with AI models.
- Build and deploy AI-driven APIs and services to provide scalable access to LLM-based solutions.
- Use data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to communicate AI model performance, insights, and results to non-technical stakeholders.
Secondary Responsibilities:
- Contribute to data analysis projects with a strong focus on text analytics, natural language understanding, and Generative AI applications.
- Build, validate, and deploy predictive models specifically tailored to text data, including models for text generation, classification, and entity recognition.
- Handle large, unstructured text datasets by performing essential preprocessing and data cleaning steps such as tokenization, lemmatization, and noise removal for machine learning and NLP tasks.
- Apply cutting-edge text data processing techniques to ensure high-quality input for training and fine-tuning Large Language Models (LLMs).
- Collaborate with cross-functional teams to develop and deploy scalable AI-powered solutions for processing and analyzing textual data at scale.
Eligibility Criteria:
- Graduation: Bachelor of Science (B.Sc), Bachelor of Technology (B.Tech), or Bachelor of Computer Applications (BCA).
- Post-Graduation: Master of Science (M.Sc), Master of Technology (M.Tech), or Master of Computer Applications (MCA).
Key Success Metrics:
- Ensure timely delivery of project milestones and tasks.
- Identify and resolve training infrastructure issues promptly.
- Lead and manage the technical aspects of assigned projects.
- Deliver high-quality, error-free outputs.
Experience:
- 0-2 years of relevant professional experience.
About Company:
IDFC FIRST Bank is a leading private sector universal Bank in India. Our Bank’s vision is to “build a world class bank in India, guided by ethics, powered by technology, and to be a force for social good”. IDFC Bank was promoted by IDFC Ltd (est. 1997) which was a premier DFI renowned for financing India’s infrastructure such as roads, ports, and power projects with a balance sheet of Rs. 75,337 crores. Capital First (est. 2012) was a successful technology led NBFC focused on financing consumer and MSME, with strong track record of growth profits and asset quality with a balance sheet of Rs. 27,351 crores. It has provided over 30 million loans & serves 60,000 + villages, cities and towns in India.
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