Job Description

Lead Assistant ManagerEXL/LAM/1447184


Healthcare AnalyticsNoida
Posted On
09 Sep 2025
End Date
24 Oct 2025
Required Experience
3 - 7 Years



Basic Section
Number Of Positions


3


Band


B2


Band Name


Lead Assistant Manager


Cost Code


8280102


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


1000000.0000 - 1700000.0000


Complexity Level


Not Applicable


Work Type


Hybrid - Working Partly From Home And Partly From Office


Organisational
Group


Analytics


Sub Group


Healthcare


Organization


Healthcare Analytics


LOB


Healthcare D&A


SBU


Services


Country


India


City


Noida


Center


Noida-SEZ BPO Solutions_Incubation Site




Skills
Skill


PYTHON


SQL


DATA SCIENCE - ML


DATA SCIENCE - AI


Minimum Qualification


MASTER OF TECHNOLOGY(MTECH)


BTECH


MCA


Certification


No data available




Exp 3-7 yrs
Key Responsibilities:Develop, refine, and implement advanced generative AI models to generate insights from complex structured and unstructured data sets. Collaborate with cross-functional teams to design and deploy generative AI solutions that address business challenges. Fine-tune and build large language models (LLMs) and other generative AI models. Lead the integration of generative AI into business processes, ensuring seamless adoption and implementation. Conduct research to stay current with the latest advancements in generative AI and machine learning. Present findings and strategic recommendations to stakeholders, translating complex technical concepts into actionable insights. Develop white papers, blogs, and presentations to share knowledge and best practices within the organization and with clients. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Proven experience as a Data Scientist with a focus on generative AI and large language models. Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). Strong understanding of natural language processing (NLP) and deep learning techniques. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills, with the ability to present complex information to non-technical stakeholders.
Workflow
Workflow Type


L&S-DA-Consulting