Data Science Specialist

162 years

0 Lacs

Posted:2 months ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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 framework


s
Job Title - DataScien

ceLocation: Noi

daEducational Background: Bachelor’s degree in computer science, Information Technology, or related fiel

d.Mode of Work- Hybr

idExperience Required - 6+ yea


rs
Key Responsibilit

iesMust have 6+ years of experience working in Data science, Machine learning and especially NLP technologi

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

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

tc.Expert in using paid (OpenAI on Azure) and open source L

LMsStrong understanding of Agents developme

nt.Experience with Python programming language in a mu

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

ds.Experience with AWS / Azure ecosystem is a mu

st.Preferable candidate should possess Pharma R&D backgro

undStrong understanding of cloud native application development in AWS / Azu

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

ce.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 architectur

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

Ms.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 summarizati

on.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 L

LM.Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or worksho

ps.Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative mode

ls.Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques follow

ed.Exposure to developing Guardrails for LLMs both with open source and cloud native mode

ls.Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performan

ce.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 te

am.Expert in RDBMS datab

aseExperience on Marklogic / No SQL datab

aseExperience on Elastic sea


rch

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