Machine Learning professional

Job Overview

To evaluate, validate, and operationalize AI/ML models for real-world healthcare applications ensuring accuracy, fairness, and compliance.

Job Purpose

The Machine Learning / Data Science Expert position offers an excellent opportunity to apply advanced analytical and technical skills in evaluating and deploying AI models within real-world healthcare settings.

The Expert will be responsible for

• Reviewing AI solutions, training datasets, and algorithm documentation
• Validating and benchmarking model performance and fairness metrics
• Ensuring compliance with data security and privacy standards
• Developing and testing data pipelines to support pilot deployments
• Conducting hands-on validation of AI outputs against clinical decisions
• Supporting field teams in interpreting model outputs
• Collaborating with clinical and operations experts to adapt models to real-world contexts
• Contributing to capacity-building and documentation of AI evaluation methods

Job Specifications

Knowledge / Education:

• MS/PhD in Computer Science (preferred); OR a Postgraduate Diploma in Data Science combined with an undergraduate degree in Engineering, Statistics, Mathematics, or related discipline

Specific Skills:

• Strong organizational and communication skills to work across diverse technical, clinical, and research teams

• Excellent project management and organizational skills

• Meticulous attention to detail

• Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices

• Capability to manage multiple tasks efficiently

• Demonstrated ability to manage relationships with partner organizations

• Willingness to frequently travel to study sites to support pilot deployments

Mandatory Experience:

• Minimum 3 years of experience in AI/ML model development, validation, and evaluation with large, real-world datasets

• Hands-on experience building and validating AI/ML models in one or more of these areas: predictive modeling, classification, natural language processing, or computer vision applications

• Experience in applying fairness, bias, and equity assessments in ML models

• Familiarity with data management, ML pipeline development, and IT system integration processes

• Knowledge of model explainability and interpretability tools

• Knowledge of data security, privacy, and regulatory compliance requirements

Key Responsibilities

• Conduct desk reviews of AI solutions including evaluation of training datasets, algorithm choices, and model construction
• Assess retrospective performance metrics, calibration, and bias mitigation approaches; establish benchmarks
• Ensure compliance with reporting standards and data security/privacy guidelines
• Support pilot deployments by validating data pipelines and monitoring real-time model performance. with site-travel as required
• Facilitate training sessions for deployment teams on the interpretation and utilization of AI outputs
• Work with on-site teams to test model outputs in real-world settings and integration into user workflows
• Conduct hands-on validation of model performance at pilot sites (e.g., comparing outputs with clinical decisions)
• Collaborate closely with clinical experts, operations specialists, and researchers to ensure models are relevant and actionable in real-world settings

Locations

Hyderabad

Mohali

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