Architect

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 - 15 years

Key Responsibilities GenAI Architect Must have 15+ years of experience working in Data science Machine learning and especially NLP technologies Experts in guiding customer solution design using architecture principles Must have education from Tier 1 college Solid understanding of Model development model serving trainingre 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 modelsincluding 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 stateoftheart 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 largescaledatasets 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 efficienc and realtime performance