Job Description: AI Engineer (Healthcare | MLOps | Production ML Systems)

Job Description: AI Engineer (Healthcare | MLOps | Production ML Systems)

Location: Remote – IndiaShift: EST / PST overlap requiredEngagement: Contractor / Vendor Consultant

Role Overview

The AI Engineer will design, implement, and deploy production-grade AI/ML models and MLOps pipelines in partnership with Enterprise Data & Analytics teams. The role ensures seamless integration of machine learning systems into the organization’s EDW, BI tools, and operational platforms, enabling scalable and reliable AI-driven insights.

Key ResponsibilitiesAI/ML Model Engineering

• Architect, build, train, and deploy machine learning and deep learning models to solve complex business and clinical problems.
• Work closely with Data Engineers to source, clean, enrich, and prepare high-quality datasets for model training and inference.

MLOps & Engineering Excellence

• Build and manage end-to-end MLOps pipelines, including CI/CD, automated testing, and model versioning.
• Implement model monitoring frameworks to detect data drift, model decay, and performance degradation.
• Build retraining workflows and optimize models for accuracy, efficiency, and scalability.

Integration with Enterprise Systems

• Ensure deployed models and AI services integrate seamlessly with EDW environments, BI tools, and operational systems.
• Develop APIs, microservices, and scalable inference architectures.

Collaboration & Stakeholder Interaction

• Partner with Data Scientists to operationalize statistical and machine learning models.
• Translate complex ML concepts into actionable business findings for leadership and stakeholders.

Code Quality & Documentation

• Maintain source code integrity using Git and adhere to engineering best practices.
• Create detailed documentation for model architectures, training methodologies, and deployment strategies.

Support & Optimization

• Provide expert-level support for production ML systems.
• Diagnose issues, troubleshoot failures, and continuously enhance existing AI solutions to meet evolving organizational needs.

Required Skills & Qualifications

• Bachelor’s/Master’s in Computer Science, AI/ML, Engineering, or related field.
• 3–7 years of experience as an AI Engineer, ML Engineer, or similar role.
• Strong expertise in Python, ML frameworks (TensorFlow, PyTorch), and model deployment patterns.
• Hands-on experience with MLOps tools & pipelines: CI/CD, MLflow, Docker, Kubernetes, Airflow, Databricks, or equivalent.
• Experience integrating AI with enterprise data platforms (EDW, APIs, BI systems).

Strong understanding of cloud environments (Azure/AWS/GCP) and distributed computing.

Job Type: Full-time

Pay: ₹1,000,000.00 - ₹2,500,000.00 per year

Benefits:

• Health insurance
• Work from home

Work Location: Remote