Data Scientist

Medline Industries India Pvt. Ltd.; Khadki; On-site; INR 900,000 - 1,300,000; Full time

Benefits offered by this job

Health insurance

Life and disability

401(k) contributions

Paid time off

Job summary

Medline Industries India Pvt. Ltd. in Pune is seeking a motivated data scientist to join our AI team, focusing on rapid prototypes and MVPs for ML and GenAI solutions, including chatbots.

The ideal candidate has hands-on ML experience, familiarity with GenAI tech, and a passion for emerging AI trends. You will collaborate with AI engineers and contribute to end-to-end model deployment and documentation.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
• 1–3 years of experience in data science, ML, or AI roles; hands-on model development and deployment.
• Exposure to GenAI technologies, including LLMs and chatbot development, is a plus.

Responsibilities

• Develop PoCs and MVPs for AI/ML projects, including GenAI chatbots.
• Collect, clean, and preprocess data; perform EDA to inform models.
• Evaluate models, tune algorithms, and monitor GenAI outputs for bias and accuracy.
• Collaborate with AI engineers and document processes for reproducibility.
• Stay updated on AI/ML trends and contribute to best practices.

Skills

Python

SQL

ML modeling

Education

Bachelors/Masters in CS/DS/AI

Tools

scikit-learn

TensorFlow/PyTorch

Matplotlib/Seaborn

MLflow/Airflow

Cloud platforms (Azure/AWS/GCP)

Job description

Job Summary

About the Role: We are looking for a motivated Data Scientist to join our dynamic AI team in Pune. This role will focus on proving concepts through rapid prototypes and building Minimum Viable Products (MVPs) in context of machine learning (ML) and Generative AI (GenAI) solutions, including GenAI-based chatbots. The ideal candidate will have a strong foundation in data science, with hands‑on experience in ML models, familiarity with GenAI based solutions, and a keen interest in emerging AI technologies.

Key Responsibilities

• AI & ML Model Development: Execute PoCs and MVPs for AI and ML projects, focusing on practical implementation. Develop and refine ML models, including supervised and unsupervised learning algorithms. Build and deploy GenAI solutions, such as Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG) systems, and chatbots. Collaborate with AI Engineers to integrate models into enterprise applications.
• Data Handling & Preprocessing: Collect, clean, and preprocess data to ensure quality inputs for model training. Conduct exploratory data analysis (EDA) to uncover insights and inform model development. Work with Data Engineers to ensure smooth data pipelines and infrastructure.
• Model Evaluation & Optimization: Evaluate model performance using appropriate metrics and fine‑tune algorithms for optimal results. Monitor GenAI outputs for issues such as bias, hallucinations, and accuracy. Implement feedback loops for continuous model improvement.
• Collaboration & Documentation: Work closely with the AI Lead and cross‑functional teams to align projects with business objectives. Document model development processes, code, and findings for transparency and reproducibility. Contribute to the development of best practices and playbooks for AI and ML solutions.
• Continuous Learning & Development: Stay updated with the latest trends and advancements in AI, ML, and GenAI technologies. Participate in team knowledge‑sharing sessions and training opportunities.

Qualifications & Skills

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.

Experience

1-3 years of experience in data science, machine learning, or AI‑related roles. Hands‑on experience with ML model development and deployment. Exposure to GenAI technologies, including LLMs and chatbot development, is a plus.

Technical Skills

Proficient in Python and SQL for data manipulation and model development. Familiarity with ML frameworks and libraries such as scikit‑learn, TensorFlow, or PyTorch. Experience with data visualization tools (e.g., Matplotlib, Seaborn) and EDA techniques. Basic understanding of MLOps tools like MLflow, Airflow, or similar is an advantage. Exposure to cloud platforms (Azure, AWS, GCP) for AI/ML model deployment is a plus.

Soft Skills

Strong analytical and problem‑solving skills. Eagerness to learn and adapt in a fast‑paced, evolving environment. Detail‑oriented with a focus on delivering high‑quality work.

Benefits

• Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
• For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.

Company Culture & Values

We’re dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.

Medline Industries, LP is an equal opportunity employer.

Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

Through our culture of belonging, our agile and resilient global team is determined to get our customers exactly what they need, at the right time, every time.

Medline is the largest provider of medical‑surgical products and supply chain solutions serving all points of care. Through its broad product portfolio, resilient supply chain and leading clinical solutions, Medline helps healthcare providers improve their clinical, financial and operational outcomes. Headquartered in Northfield, Illinois, the company employs more than 43,000 people worldwide and operates in more than 100 countries and territories. To learn more about how Medline makes healthcare run better, visit www.medline.com.