Software Development Lead Engineer Research Waters Connect

Waters Corporation; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Waters Corporation, a global leader in life sciences and diagnostics, seeks a Senior Research Engineer in Machine Learning for its waters_connect portfolio in Waters Informatics. You will develop ML/AI methods to enhance automated scientific workflows for chromatographic and mass spectrometric data, collaborating with the Global Research team on early-stage research.

You will experiment with LLMs, agentic AI, and feature engineering, building data pipelines and communicating results with

Qualifications

• Master's in computer science, data science or related field and 5-6 years of relevant work experience, or a PhD with at least 1 year experience.
• Experience in model development using Python for ML, statistical, and/or mechanistic models.
• Experience implementing LLM and/or agentic AI solutions using RAG and fine-tuning.
• Robust programming skills in Python (NumPy, Pandas, PySpark, SciPy, scikit-learn).
• Familiarity with Git version control, Bash.

Responsibilities

• Experiment with various LLM, agentic AI, machine learning and statistical models, develop data features, generate metrics, and evaluate results for chromatographic and mass spectrometric data.
• Collaborate with SMEs to evaluate models and present results to stakeholders.
• Write unit tests and maintain codebases with good programming practices.
• Contribute to technical reports, patent applications, and transferable protocols.
• Build and maintain data pipelines for research and applied informatics.
• Stay up-to-date with advances in ML and AI.

Skills

Python for ML

Data feature engineering

Model evaluation metrics

Visualization

Stakeholder communication

Education

Master's in CS/Data Science or related

PhD with 1 year experience

Tools

Git

Bash

PySpark

NumPy

Pandas

SciPy

Scikit-learn

Job description

Overview

Introduction

The waters_connect portfolio within Waters Informatics is seeking a creative and technically strong Senior Research Engineer in Machine Learning to help advance intelligent, automated scientific workflows. This role focuses on applying machine learning and AI techniques to improve how analytical data is generated, interpreted, and acted upon across connected laboratory systems.

The successful candidate will work within the Informatics portfolio, collaborating closely with the Global Research team on early‑stage research and prototyping. Together, you will help develop next‑generation capabilities that enable more autonomous, efficient, and robust chromatographic and mass spectrometric workflows, including data‑driven optimization and expert AI assistance.

Responsibilities

Responsibilities:

• Experiment with various LLM, agentic AI, machine learning and statistical models, develop data features, generate metrics, and evaluate results associated with the collection and analysis of chromatographic and mass spectrometric data
• Work with subject matter experts (SMEs) to evaluate models and present results to stakeholders, demonstrating the value of the ML techniques in new product concepts
• Use object‑oriented programming and functional programming best practices to maintain codebases and write unit tests
• Contribute to the preparation of technical reports, patent applications, and transferable protocols
• Contribute to the construction and maintenance of data pipelines supporting research and applied informatics use cases
• Maintain up‑to‑date knowledge of advances in machine learning and AI

Qualifications

Qualifications

• Master's in computer science, data science or related field and at least 5-6 years’ relevant work experience, or a PhD and at least one year of experience. Position level commensurate with experience
• Experience in model development using Python for machine learning, statistical, and/or mechanistic models
• Experience implementing LLM and/or agentic AI solutions using RAG and fine‑tuning
• Robust programming skills in Python (e.g., numpy, pandas or pySpark, scipy, scikit‑learn)
• Comfortable with Git version control, BASH, or command prompt.
• Comfortable discovering and driving new modelling techniques and best practices from papers, textbooks, and other technical documentation
• Able to communicate results using meaningful metrics and visualisations to managers and stakeholders, and receive feedback.
• Knowledge of an object-oriented or functional programming language, such as Java, C#, Scala, is desirable
• Familiarity with signal‑processing methods is desirable

Company Description

Waters Corporation (NYSE:WAT)is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state,and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status,or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.