Data Science Lead

Area(s) of responsibility

About Birlasoft
Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose.

About the Job – Our project is hiring a skilled Datacience Candidate who has good hands on experience on Agentic AI frameworks

Job Title - DataScience

Location: Noida

Educational Background: Bachelor's degree in computer science, Information Technology, or related field.

Mode of Work- Hybrid

Experience Required - 8+ years

Key Responsibilities

Must have 10+ years of experience working in Data science, Machine learning and especially NLP technologies.

Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment.

Must have experience with Agentic AI frameworks – LangGraph, LlamaIndex, MCP etc.

Expert in using paid (OpenAI on Azure) and open source LLMs

Strong understanding of Agents development.

Experience with Python programming language in a must.

Ability to develop Python code as needed and train the Developers based on business needs.

Experience with AWS / Azure ecosystem is a must.

Preferable candidate should possess Pharma R&D background

Strong understanding of cloud native application development in AWS / Azure.

Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence.

Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, cluding but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures.

Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.

Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization.

Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.

• Passionate to learn and stay updated with the latest advancements in generative AI and LLM. Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops. Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models. Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed. Exposure to developing Guardrails for LLMs both with open source and cloud native models. Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance. Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team. Expert in RDBMS database Experience on Marklogic / No SQL database Experience on Elastic search