Lead AI Feature Engineer

MedDeviceJobs; Bengaluru; Remote; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Remote work arrangements

Job summary

Danaher’s DHR Enterprise AI Solutions seeks a data scientist/ML engineer to create reusable, production-grade features from enterprise, scientific, and instrument data.

You will collaborate with Data Scientists, AI Engineers and Product Owners to translate challenges into scalable feature assets, build feature stores and pipelines, optimise model performance in cloud environments, design experiments, validate signals, monitor feature quality and ensure lifecycle management.

Qualifications

• Strong hands-on experience in Data Science, ML and feature engineering for production ML solutions.
• Deep understanding of data prep, feature extraction and model performance optimization.
• Proficiency with Python, SQL, notebooks and ML libraries in cloud environments.

Responsibilities

• Discover, develop and maintain high-quality features from enterprise data to improve model performance.
• Design experiments and feature selection to maximize signal quality.
• Build reusable feature data products, feature stores and pipelines for cross-solution use.
• Establish best practices for feature quality, lineage and lifecycle management.
• Collaborate with Data Scientists, AI Engineers, Product Owners and Architects to translate challenges into scalable feature assets.

Skills

Data Science

Machine Learning

Feature engineering

Predictive modelling

Analytical thinking

Tools

Python

SQL

Jupyter Notebooks

Pandas

Scikit-learn

Job description

Bring more to life.

Bring more to life.At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact, innovating at the speed of life.Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnologyAre you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we’re committed to hiring and developing from within. You’ll thrive in a culture of belonging where you and your unique viewpoint matter.DHR Enterprise AI Solutions is Danaher’s enterprise AI engineering capability, responsible for identifying opportunities, building and scaling reusable AI solutions, and accelerating measurable business impact across operating companies. We combine product, architecture, AI science, engineering and operations to industrialise AI, establish enterprise standards and enable the next generation of AI-powered products, workflows, applications and decision-making.We look forward to welcoming you to our organisation.In DHR Enterprise AI Solutions, you will be responsible for creating reusable, production-grade feature data products that enable high-performing Data Science, Machine Learning and AI solutions across Danaher.You will serve as a technical expert in feature engineering and applied machine learning, helping transform complex enterprise, scientific, laboratory and instrument data into meaningful signals, predictive variables and reusable features that power scalable analytics, ML and AI solutions.

In this role, you will have the opportunity to:

• Discover, develop and maintain high-quality features from enterprise, scientific, laboratory and instrument data that improve the performance, explainability and reliability of Machine Learning and AI solutions.
• Design and execute data exploration, feature engineering and feature-selection experiments to identify meaningful signals, validate assumptions and maximise model performance.
• Build reusable feature data products, feature stores and feature generation pipelines that can be consistently consumed across multiple solutions, models and operating companies.
• Establish best practices for feature quality, lineage, monitoring, documentation and lifecycle management, ensuring features remain reliable, traceable and production-ready over time.
• Partner with Data Scientists, AI Scientists, AI Engineers, Product Owners and Architects to translate business and scientific challenges into scalable feature assets and predictive capabilities.

The essential requirements of the job include:

• Strong hands-on experience in Data Science, Machine Learning, feature engineering and predictive modelling, including the development of high-quality features for production machine learning solutions.
• Deep understanding of data preparation, feature extraction, dimensionality reduction, feature selection, statistical analysis and model performance optimisation.
• Proficiency in Python, SQL, notebooks, machine learning libraries and modern data-processing frameworks used to develop and operationalise ML solutions.
• Experience building scalable data pipelines, feature generation workflows and reusable feature assets in cloud-based environments.
• Strong analytical and problem-solving skills with the ability to identify valuable signals in complex data and translate them into measurable business and scientific outcomes.

It would be a plus if you also possess previous experience in:

• Building feature stores, reusable feature repositories or feature engineering frameworks used across multiple machine learning solutions.
• Developing predictive models using techniques such as gradient boosting, ensemble methods, Bayesian modelling, optimisation algorithms, forecasting or advanced statistical approaches.
• Working in life sciences, diagnostics, healthcare, laboratory environments, advanced manufacturing or other data-rich scientific industries.

Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a healthcare program or paid time off, our programs contribute to life beyond the job.At Danaher, we believe in designing a better, more sustainable workforce. We recognise the benefits of flexible and remote working arrangements for eligible roles and are committed to providing enriching careers regardless of work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide.

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com .