Data Scientist- Machine Learning

InfoStride; Dadri; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

A tech consulting firm in India seeks a Data Scientist to join its Data Science team. This role involves implementing ML models in healthcare environments, troubleshooting performance issues, and ensuring optimal model reliability. Candidates should have over 5 years of ML experience and 2 years of LLM experience, with strong skills in Python and SQL. The position is full-time and offers a hybrid work model.

Qualifications

• 5+ years of industry experience developing ML systems in production.
• 2+ years' experience developing LLM systems.
• Strong communication with technical and non-technical partners.

Responsibilities

• Implement ML models in production environments.
• Diagnose and troubleshoot model performance issues.
• Conduct data validation to meet quality standards.
• Provide technical support to clients.
• Monitor models for performance degradation.

Skills

Data engineering experience

Python

SQL

Cross-functional communication

ML systems experience

LLM systems experience

Job description

Results-Driven HR Professional | Delivering Strategic Talent Solutions & Business Results

About Company

Infostride is a certified firm serving various Federal, State, Local, and County Departments in primarily IT consulting and Services. We specialize in providing Digital Transformation solutions to our clients, including website development, website redesign, custom application development, Cloud Infrastructure & Security & data analytics. With corporate headquarters in the United States & offshore development center in India, our global presence also includes Dubai and Singapore. We leverage the global delivery model approach to provide best-in-class services for our Govt and Commercial Customers.

Timings- 02:30 pm to 11:30 pm IST

Mode- Work from the Office (3 Days from the office and 2 Days from Home)

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.

You will work closely with implementation teams and clients to configure models for specific healthcare settings, diagnose and resolve performance issues, validate data quality throughout the deployment process, and provide expert troubleshooting support for our ML and LLM solutions. This hands‑on role requires deep technical expertise in model operationalization and the ability to quickly identify and resolve issues that arise during model configuration and ongoing client operations.

What We're Looking For

• 5+ years of relative industry experience developing, launching, and maintaining ML systems in production at scale.
• 2+ years' 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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting