Manager - AI/ML

Indegene Inc.; India; On-site; INR 350,000 - 550,000; Full time

Job summary

Indegene Inc. is seeking an Associate Manager – AI/ML to lead cross-functional AI/ML initiatives in the Pharma domain.

The role combines hands-on technical leadership, solution architecture, and end-to-end project ownership, collaborating with clients and business stakeholders to deliver high-quality outcomes. You will mentor junior engineers, drive MLOps practices, ensure model governance, and communicate technical insights to senior leadership.

Qualifications

• 12+ years of experience with at least 5+ years in Project Lead/Domain & Functional roles.
• Strong Pharma industry experience (commercial, sales & marketing, patient or medical analytics).
• Proven expertise in Next Best Action (NBA) and decisioning systems.

Responsibilities

• Lead end-to-end AI/ML project delivery from problem definition to production deployment.
• Design, architect, develop, and deploy scalable, production-ready ML solutions.

Skills

Python (advanced)

SQL

PySpark

Tools

Git

JIRA/Azure DevOps

Airflow/ADF

Docker

Kubernetes

Job description

Job Description: Associate Manager – AI/MLRole SummaryWe are seeking a highly experienced Project Lead with a strong Pharma domain background and proven expertise in Data, Analytics, and Next Best Action (NBA) use cases. The role combines hands on technical leadership, solution architecture, and end to end project ownership, acting as both AI/ML Technical Lead and Technical Project Manager.The ideal candidate will lead AI/ML initiatives from problem definition to production deployment, work closely with clients and business stakeholders, and mentor junior engineers while ensuring on time, high quality delivery.

Associate Manager – AI/ML

Key Responsibilities

• Lead end to end AI/ML project delivery, from problem definition to production deployment.
• Design, architect, develop, and deploy scalable, production ready ML solutions.
• Drive NBA, personalization, segmentation, forecasting, and optimization use cases.
• Act as client facing technical lead, working closely with stakeholders and business teams.
• Own project planning, execution, risk management, and delivery commitments.
• Mentor and guide junior ML engineers and data scientists.
• Ensure adherence to best practices in MLOps, model governance, and compliance.
• Communicate technical insights and business impact to senior leadership.

Your impact: Candidate should be able to deliver cross functional projects with highest quality, mentor team to create next layer of leadership.

About you: (Desired profile)

We are seeking a dynamic and experienced Sr ML Engineer to lead our talented team of AI/ML engineers/ AI analyst. In this role, you will be instrumental in shaping the architecture and infrastructure of our data systems, driving innovation, and ensuring the delivery of high-quality solutions. You will play a critical role in designing and implementing scalable AI/ML Solutions and leveraging advanced analytics techniques to drive business value. Pharma background preferred. Team management preferred.

Must have: (Requirements)

Required Skills & Experience

• Must have 12+ year of experience with 5+ years Project LeadDomain & Functional
• Strong Pharma industry experience (commercial, sales & marketing, patient or medical analytics).
• Proven expertise in Next Best Action (NBA) and decisioning systems.

AI / Machine Learning

• Predictive modelling, classification, clustering, recommender systems, time series forecasting.
• Experience with models such as XGBoost, LightGBM, regression models, clustering techniques.
• Model evaluation, explainability (SHAP/LIME), and performance monitoring.

Programming & Data

• Python (advanced), SQL, PySpark
• API development using FastAPI / Flask
• Strong data engineering and feature engineering experience.

Platforms & MLOps

• Cloud platforms: AWS
• Data platforms: Databricks
• Containers & deployment: Docker, Kubernetes
• CI/CD for ML, model monitoring, retraining, and versioning.

GenAI (Good to Have)

• Experience with LLMs, prompt engineering, agent based systems
• Vector databases and embeddings.

Tools

• Git, JIRA/Azure DevOps, Airflow/ADF
• BI tools: Power BI / Tableau

Leadership & Soft Skills

• Strong stakeholder and client management skills
• Excellent communication and problem solving abilities
• Proven experience leading teams and delivering complex programs
• Ownership mindset with accountability for outcomes