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Predigle - Artificial Intelligence/Machine Learning Engineer - Health Management Information System

Predigle
Chennai
5 - 7 Years

Posted on: 17/02/2026

Job Description

Immediate Joiners Preferred

Role Overview :

We are looking for experienced AI and Data Science professionals to design, build, and deploy production-grade machine learning and Generative AI solutions across healthcare and life sciences use cases. The role spans predictive modeling, causal inference, GenAI system engineering, and end-to-end MLOps deployment.

Key Responsibilities :

- Develop ML models for patient and HCP prediction, segmentation, and targeting.

- Work with longitudinal healthcare and US pharma datasets to engineer high-quality features.

- Apply causal inference, deep learning, and advanced ML techniques to solve complex business problems.

- Design, build, and maintain scalable ML pipelines and production ML systems.

- Engineer and deploy production-grade Generative AI and Agentic AI solutions.

- Implement evaluation frameworks including human-in-the-loop review, hallucination detection, toxicity checks, and LLM-based evaluation.

- Monitor model performance, latency, accuracy, and drift in production environments.

- Build and manage MLOps, ETL pipelines, CI/CD workflows, and deployment infrastructure.

- Collaborate with data, engineering, and product teams to deliver enterprise-ready AI solutions.

Required Skills :

- Strong experience in machine learning, deep learning, and predictive analytics.

- Hands-on expertise in feature engineering with healthcare or longitudinal datasets.

- Knowledge of causal inference methodologies and experimentation design.

- Experience building ML pipelines and productionizing models via MLOps.

- Proven ability to design and deploy GenAI and Agentic AI applications.

- Familiarity with evaluation, benchmarking, and performance monitoring of AI systems.

- Experience with DevOps, CI/CD, and production deployment workflows.

Preferred Experience :


- Exposure to US healthcare/pharma data ecosystems.

- Experience delivering AI POCs, MVPs, and scalable enterprise deployments.

- Strong problem-solving mindset with ability to translate business needs into AI solutions.


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