Job Information
Ingersoll Rand Senior Engineer - Python ML/AI in Bangalore, India
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 Rands 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 Rands purpose and strategic focus areas.
Job & Division Summary:
The role involves developing and scaling cloudbased 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 eventdriven systems, as well as PostgreSQL and AWS Athena. The position requires an expertlevel 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 servicesecosystem, 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 b ackend 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 withFastAPIfor building REST APIs
Knowledge ofmessage queue systems(RabbitMQ, Google Pub/Sub) and event-driven architectures
Experience withPolarsfor high-performance data processing
Familiarity withtime series data processingand interpolation techniques
Experience withgRPC and Protocol Buffers
Exposure toAWS services(boto3, Athena) for cross-cloud integrations
Understanding ofIndustrial IoT concepts: sensors, telemetry, device management
Experience withSalesforce API integrations
Knowledge ofPanderaor similar DataFrame validation tools
Experience withAPScheduleror similar task scheduling frameworks
Basic Qualifications
Preferred M.Tech, ME or M.Sc degree in Software/Data/Statistics/Maths. Must have B.E/B.Techin 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.