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 is seeking a Senior Research Engineer in Machine Learning to advance automated scientific workflows within the Waters informatics portfolio. The role focuses on applying ML/AI to improve how analytical data is generated and interpreted across connected lab systems.

You will collaborate with the Global Research team on early‑stage research, prototype next‑gen capabilities, and contribute to data pipelines, model development, and evaluative reports for stakeholders.

Qualifications

• Master's or PhD with relevant ML/data science experience.
• Strong Python for ML with model development experience.
• Experience LLMs, agentic AI, RAG and fine-tuning.
• Proficient with ML libraries: NumPy, Pandas, SciPy, scikit-learn.
• Version control with Git; comfortable with Bash.

Responsibilities

• Experiment with ML/LLM models and evaluate results on chromatographic/mass spec data.
• Collaborate with SMEs to evaluate models and present results to stakeholders.
• Maintain code with OO/functional practices and write unit tests.
• Contribute to technical reports, patents, and reproducible protocols.
• Build and maintain data pipelines for research and applied informatics.

Skills

Python for ML

LLMs & agentic AI

Data pipelines

Git

BASH

Visualization

NLP/ML libraries

Education

Master's in CS/Data Science

PhD (optional)

Tools

PySpark

NumPy

Pandas

Scikit-learn

SciPy

Jupyter

Job description

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.

Overview

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

• 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

• 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.

Equal Opportunity & Diversity

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.