Job Description

Senior ManagerEXL/SM/1447183


Healthcare AnalyticsNoida
Posted On
09 Sep 2025
End Date
24 Oct 2025
Required Experience
11 - 20 Years



Basic Section
Number Of Positions


1


Band


C2


Band Name


Senior Manager


Cost Code


8280102


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


2000000.0000 - 3000000.0000


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


Healthcare Analytics


Country


India


City


Noida


Center


Noida-SEZ BPO Solutions_Incubation Site




Skills
Skill


ARTIFICIAL INTELLIGENCE


MACHINE LEARNING


ML FRAMEWORKS, PYTORCH


PROMPT


GENAPP


Minimum Qualification


MASTER OF TECHNOLOGY(MTECH)


BTECH


MCA


MBA/PGPM


Certification


No data available

Roles and Responsibilities:

Experience in implementation of ML/AI solutions for enterprise level on Azure/AWS cloud Communicate effectively with clients on brainstorming the solutions Conduct research and development majorly on AI/ML implementations Implement RAG architecture for confidential data use case Apply deep learning techniques and machine learning experience Fine tune LLM for optimal performance Develop and implement generative AI models using state-of-the-art techniques and frameworks Collaborate with cross-functional teams to understand project requirements and design solutions that address business needs Research and experiment with new AI algorithms, architectures, and tools to improve model performance and capabilities Train, evaluate, and fine-tune generative models using large datasets to achieve desired outcomes Optimize model inference and deployment pipelines for efficiency and scalability in production environments Stay updated with the latest advancements in AI research and technology and contribute to the knowledge sharing within the team Participate in code reviews, documentation, and knowledge transfer sessions to ensure high-quality deliverables and effective collaboration Good to have - experience in healthcare and life sciences to relevant projects Leverage MLOps and LLMOps experience to optimize operations Act as a hands-on leader with GenAI and Machine Learning experience

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or related field 7+ years of experience in implementing ML/AI solutions for enterprise level on Azure/AWS cloud Strong programming skills in languages such as Python, with experience in data science Proficiency in generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and related architectures Good understanding of machine learning concepts, algorithms, and methodologies Experience with data preprocessing, model training, and evaluation using large-scale datasets Excellent problem-solving skills and the ability to work independently as well as part of a team Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders Experience in healthcare and life sciences is a plus Familiarity with MLOps, AiOps, and llmops is beneficial

Good to have certifications in AI/ML or related fields


Workflow
Workflow Type


L&S-DA-Consulting