Data Scientist- Machine Learning

InfoStride; Dadri; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

A leading data science company in India seeks an experienced Data Scientist to implement and optimize machine learning models in production healthcare environments. The candidate should have over 5 years of experience with ML systems, along with strong coding skills in Python and SQL. Responsibilities include troubleshooting model issues and ensuring optimal performance across client operations.

Qualifications

• 5+ years of experience in developing, launching, and maintaining ML systems in production.
• 2+ years of experience with LLM systems.
• Hands-on experience with data cleaning and pipelines.

Responsibilities

• Implement and configure ML models in production for healthcare.
• Troubleshoot model performance issues.
• Conduct data validation during implementation.
• Provide ongoing technical support to clients.
• Monitor models for performance degradation.

Skills

Machine Learning

Python

SQL

Cross-Functional Communication

Data Engineering

Job description

About the Role

We're looking for an experienced Data Scientist to join our Data Science team with a focus on model implementation and operational excellence. In this role, you will be responsible for taking data science models from development to production, ensuring they perform optimally in real-world healthcare environments, and providing ongoing technical support to maintain model reliability and accuracy.

What We're Looking For

• 5+ years of relative industry experience developing, launching, and maintaining ML systems in production at scale.
• 2+ years of experience developing and tuning LLM systems.
• Strong cross‑functional communication with technical and non‑technical partners.
• Hands‑on data engineering experience manipulating data sets, data cleaning, and pipelines with strong coding skills in Python and SQL.
• Strong software development foundations – dedication to high code quality, stable architecture.

Key Responsibilities

• Implement and configure statistical and machine learning models in production environments, ensuring optimal performance across diverse healthcare settings.
• Diagnose and troubleshoot model performance issues during configuration, including identifying root causes related to data quality, feature engineering, and model parameters.
• Conduct comprehensive data validation throughout the implementation process to ensure model inputs meet quality standards and flag potential issues before they impact performance.
• Provide ongoing technical support to clients, investigating and resolving model‑related issues that arise in production environments.
• Collaborate with implementation teams to configure LLM systems for specific client needs, troubleshooting performance bottlenecks and ensuring reliable deployment.
• Monitor deployed models for performance degradation and implement corrective measures to maintain accuracy and reliability.
• Develop and maintain diagnostic tools and processes to streamline troubleshooting and support workflows.
• Work cross‑functionally with customer success, implementation, and engineering teams to ensure seamless model deployment and ongoing support.
• Document troubleshooting procedures and create knowledge base materials to support scaling of implementation and support processes.

Location: Noida, Uttar Pradesh, India.