Senior Engineer - Python ML/AI

Ingersoll Rand is committed to achieving workforce diversity reflective of our communities. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. 

Job Title 

Senior Python ML/AI Engineer

Location  

Bangalore

About Us

Ingersoll Rand is a global provider of mission-critical flow creation, Precision Technologies and Life science solutions. Ingersoll Rand’s Global Engineering & Technology Center (GEC) in Bangalore, driven by an ownership mindset and entrepreneurial spirit, has been a beacon of innovation for over 20 years, embodying our purpose to “Make Life Better” for our employees, customers, shareholders and the planet. 

The Engineering & Technology centre has expertly supported a diverse range of industrial products, offering deep expertise in core and digital engineering space. By cultivating a sense of inclusion, belonging and respect, and a collaborative culture, the GEC has fostered the most talented and capable engineers, thereby playing a pivotal role in driving Ingersoll Rand’s purpose and strategic focus areas.

Job & Division Summary: 

The role involves developing and scaling cloud‑based data analytics solutions for industrial IoT products. It requires building Python microservices such as scheduled task runners, data pipelines, and API services, while supporting ML technologies used for anomaly detection, predictive maintenance, AI models, and AI agents. The engineer will work extensively with GCP data and AI infrastructure, including BigQuery, Pub/Sub, and event‑driven systems, as well as PostgreSQL and AWS Athena. The position requires an expert‑level Python developer (5+ years) with experience in ML workflows, strong SQL/BigQuery skills, modern Python practices (type hints, Pydantic, async), and proficiency with CI/CD, Docker, Kubernetes, and pytest.

Responsibilities

• You shape the future in the area of cloud-based data analytics for our industrial IoT products
• You build and expand Python microservices for operating the data analytics tasks in our connected services ecosystem, including scheduled task runners, data pipelines, and API services
• You develop and maintain technologies for machine learning algorithms for industrial applications such as anomaly detection and predictive maintenance as well as for AI, and AI agents
• You inspire with creative solutions on challenges like scalability, efficiency and flexibility in our GCP-based data and AI infrastructure
• You work with data sources including Google BigQuery, PostgreSQL, and cross-cloud data lakes (AWS Athena) using SQL and Python-based query frameworks
• You combine your expertise in backend development best practices with data and ML engineering utilizing modern Python patterns including type hints, Pydantic data models, and async programming to drive the data and AI based evolution of our digital and recurring revenue strategy
• You design and maintain event-driven architectures using message queues (RabbitMQ, Google Pub/Sub) and integrate with external platforms like Salesforce
• You exchange and closely collaborate with data & AI engineers, data scientist and FE/BE developers, working towards common goals in an agile manner
• You keep an eye on architecture, quality (especially ML output quality and data validation) and documentation
• You help fellow (junior) colleagues to grow and thrive within the team through code reviews and technical mentorship

Mandatory Skills

• You have successfully completed your scientific or technical studies (Computer Science, Data Science, Engineering, or related field)
• Expert Python developer (5+ years) with strong experience including modern features like type hints, dataclasses, and async/await patterns
• Advanced experience with Pydantic v2 for data validation, settings management, and API schemas
• Substantial hands-on experience with ML workflows using scikit-learn (clustering, anomaly detection, preprocessing) and data pipelines using Pandas
• You have profound knowledge and a good overview of data backend and data science technologies and live the best practices
• Proficient in SQL with experience in analytical databases, particularly Google BigQuery
• Experience with Google Cloud Platform (GCP): BigQuery, Pub/Sub, and GKE basics
• Modern tech-stack experience with Docker, Kubernetes/Helm, and GitLab CI/CD pipelines
• Strong testing practices with pytest, including unit tests, integration tests, and mocking external services
• You have very good English language skills (written and spoken)
• You enjoy working in a collaborative team environment
• You show a confident appearance in an international environment

Desired skills:

• Experience with FastAPI for building REST APIs 
• Knowledge of message queue systems (RabbitMQ, Google Pub/Sub) and event-driven architectures 
• Experience with Polars for high-performance data processing 
• Familiarity with time series data processing and interpolation techniques 
• Experience with gRPC and Protocol Buffers 
• Exposure to AWS services (boto3, Athena) for cross-cloud integrations 
• Understanding of Industrial IoT concepts: sensors, telemetry, device management 
• Experience with Salesforce API integrations 
• Knowledge of Pandera or similar DataFrame validation tools 
• Experience with APScheduler or similar task scheduling frameworks

Basic Qualifications

• Preferred M.Tech, ME or M.Sc degree in Software/Data/Statistics/Maths. Must have B.E/B.Tech in Software/Data/Statistics/Maths
• 5+ years of relevant experience

What we Offer

• We are all owners of the company! Stock options(Employee Ownership Program)  that align your interests with the company's success.   
• Yearly performance-based bonus, rewarding your hard work and dedication.   
• Leave Encashments  
• Maternity/Paternity Leaves 
• Employee Health covered under Medical, Group Term Life & Accident Insurance 
• Employee Assistance Program  
• Employee development with LinkedIn Learning  
• Employee recognition via Awardco  
• Collaborative, multicultural work environment with a team of dedicated professionals, fostering innovation and teamwork.   

Ingersoll Rand Inc. (NYSE:IR), driven by an entrepreneurial spirit and ownership mindset, is dedicated to helping make life better for our employees, customers and communities. Customers lean on us for our technology-driven excellence in mission-critical flow creation and industrial solutions across 40+ respected brands where our products and services excel in the most complex and harsh conditions. Our employees develop customers for life through their daily commitment to expertise, productivity and efficiency. For more information, visit www.IRCO.com.