About the role
Machine Learning Engineer | Augury Solutions Industrial AI Workforce Combines machine and operational data to give manufacturing teams the monitoring, intelligence, and AI agents they need to accelerate response time and keep production running. Learn more Machine Health Prevent machine failures and reduce maintenance costs with AI powered by reliability experts. Machine Health Machine Health Solutions Critical Equipment Hazardous Ultra-Low RPM Supporting Equipment Auguscope Use Cases By Industry By Business Goal By Persona By Asset By Industry Food & Beverage Consumer Packaged Goods Metals & Mining Pulp & Paper Glass Chemicals Pharmaceutical Plastics Steel Forest Products Building Materials & Cement Commercial Services Energy Show more By Business Goal Eliminate Unnecessary Downtime Reduce Loss, Waste, and Emissions Maximize Yield and Capacity Optimize Asset Care Transform the Way You Work Show more By Persona Plant Manager IT Maintenance & Reliability VP Manufacturing & Engineering Digital Transformation Supply Chain Process Engineering & Operations Show more By Asset Rotating Equipment Pumps Motors Compressors Bearings Fans and Blowers Gearboxes Chillers Conveyor Extruders Mills Mixers Seamer Show more Why Augury Customers Our Customers Our Commitment Success Stories Spotlight Awards Show more Partners Resources Resource Center Blog Events & Webinars Podcasts Videos Collateral Value Calculator Show more Company About Careers Media Center Support Community In the News Press Releases Show more Pricing Contact us Search for: Log in Book a Demo All Jobs R&D Machine Learning Engineer Our mission is to provide manufacturers and other industrial sectors with insights into the health of machines, processes, and operations to transform how people work and what they can create. A leader in Machine Health and Process Health solutions, Augury uses purpose-built AI technology, trained by industry experts and the world’s largest data library, to help companies realize the full potential of their production. Together with our customers, we are pioneering Production Health by removing friction created by competing business goals so companies can improve business outcomes, empower their workforce, and achieve sustainable production- all at the same time. Full-time Bengaluru, India About The Position Augury is building AgenticAI systems that transform how industrial organizations understand and optimize their operations. As a Senior ML Engineer on this team, you will help turn that vision into reality. You will be part of the AgenticAI team, you will work closely with central Algorithm and Product teams to design, build, and deploy intelligent systems that power next-generation industrial AI applications. You will own the end-to-end lifecycle of machine learning solutions—from problem definition and data exploration to model development, deployment, and production monitoring. Your work will span classical machine learning, time-series modeling, and generative AI to build agent-based systems that turn complex industrial data into actionable intelligence. You will architect and implement Agentic applications that leverage heterogeneous data sources, including sensor-based time-series signals, unstructured text, and existing ML frameworks. These systems will directly power customer-facing workflows, delivering measurable operational impact for industrial manufacturers. This role sits at the intersection of Agentic AI and Industrial AI, where your work will directly shape how customers interact with Augury’s platform and realize value from their data. A Day In Your Life Own the full machine learning lifecycle: problem scoping, data exploration, pipeline development, model training, deployment, and monitoring in production. Design and build Agentic AI systems that combine time-series modeling, signal processing, and generative AI (LLMs, embeddings, orchestration frameworks, and tool use). Develop and deploy machine learning models for forecasting, anomaly detection, and pattern recognition in industrial sensor data. Integrate classical statistical methods, deep learning, and GenAI techniques to generate actionable insights from complex datasets. Build scalable data pipelines and ML systems that operate reliably in production environments. Collaborate with Product, Engineering, and Algorithm teams to define solutions and translate customer needs into technical implementations. Partner with customers and internal stakeholders to identify new data-driven opportunities and emerging use cases. Implement robust evaluation, monitoring, and drift detection systems for live ML/Agentic applications. What You Bring Bachelor’s degree in Computer Science, Engineering, or related technical field (B.Tech / B.E. or equivalent). Master’s degree (M.Tech or equivalent) is a plus but not required. Equivalent industry experience will be considered for exceptional candidates. 4+ years of experience in Machine Learning, Applied AI, or related fields. Proven ability to own and deliver end-to-end ML systems in production environments. Strong experience in time-series modeling, forecasting, anomaly detection, and feature engineering. Hands-on experience with Python and ML frameworks (e.g., Pydantic, PTorch, TensorFlow, Scikit-learn, or similar). Familiarity with generative AI systems, including LLMs, embeddings, and agent-based architectures (e.g. Langchain, LangGraph, DSPy) Experience building or working with Agentic applications or LLM-powered systems. Strong understanding of data pipelines and production ML systems (deployment, monitoring, retraining, drift detection). Experience working in Agile, fast-paced, cross-functional environments. Strong collaboration skills with distributed teams across engineering, product, and data functions.