Ingersoll Rand - Senior Data Scientist - MLOps

About Us :

Ingersoll Rand is a global provider of mission-critical flow creation, life science and industrial solutions. Ingersoll Rand's Global Engineering & Technology Center (GEC) in Bangalore, A GREAT PLACE TO WORK CERTIFIED WORKPLACE is driven by an ownership mindset and entrepreneurial spirit, has been a beacon of innovation for over 19 years, embodying our purpose to "Make Life Better" for our employees, customers, shareholders and the planet.

Job Summary :

We are looking for a technically strong Senior Analytics Engineer / Data Scientist to own both sides of a modern analytics and ML platform : Designing and rigorously reviewing SQL-based data pipelines and business insight logic on Google BigQuery, and owning the end-to-end MLOps lifecycle for models running in production on GCP.

Responsibilities :

• Design and implement BigQuery SQL procedures, views, and table functions for business insight generation.

• Analyze and optimize BigQuery query for cost and performance and enforce shared architectural conventions.

• Own the end-to-end MLOps lifecycle - model packaging, versioning, cloud deployment, monitoring, and automated retraining pipelines on GCP using Vertex AI, MLflow, or Kubeflow.

• Design and maintain CI/CD pipelines for ML models, ensuring reliable, repeatable deployments.

• Set up model monitoring to track prediction drift, data drift, and performance degradation in production.

• Conduct evidence-based code reviews and define data quality governance standards.

• Validate model outputs and analytical findings for statistical soundness.

Mandatory Skills :

• Strong hands-on experience with BigQuery and advanced SQL.

• Deep ownership of MLOps - CI/CD for ML, model versioning, and retraining pipelines on GCP (Vertex AI).

• Strong Python skills for production-grade ML code using scikit-learn, TensorFlow, PyTorch, or Pandas.

• Hands-on experience implementing data quality governance and insights validation.

• Strong grounding in statistical modeling - regression, classification, time-series forecasting.

Education & Experience :

• B.Tech / M.Tech.

• 5 to 8 years of overall experience, including 3+ years of hands-on BigQuery/SQL-at-scale work and meaningful exposure to production ML systems.

What We Offer :

• Stock options (Employee Ownership Program).

• Yearly performance-based bonus.

• Comprehensive health insurance and employee benefits.

• Collaborative, multicultural work environment.