Machine Learning Engineer

Who is the ML Engineer at Linecraft AI?The Machine Learning Engineer will design, prototype, and productionize ML models that power Linecraft AI’s industrial analytics platform. The role requires strong hands-on skills in applied ML, experimentation, data engineering, and deploying models in production environments. You will work closely with product, domain, and engineering teams to ensure ML solutions deliver measurable business impact on manufacturing processes.You’ll be in charge of:Exploration & Research- Evaluate ML and Deep Learning algorithms for manufacturing problems such as anomaly detection, predictive insights, process optimization, and time-series forecasting.- Analyse machine, sensor, and production-line data to extract patterns and actionable insights.- Perform feature engineering for time-series, event, and categorical industrial datasets.- Assess data quality, design validation frameworks, and build baseline models to guide development.Model Development & Optimization- Build and optimize ML pipelines for performance, interpretability, and robustness.- Evaluate models using appropriate metrics for classification, regression, forecasting, and clustering.- Conduct error analysis, improve accuracy, and iterate on research prototypes for production readiness.Productionization & MLOps- Deploy ML models to production using Docker, Kubernetes, or workflow orchestrators (Flyte/Kubeflow/Airflow).- Implement CI/CD for ML workflows, model versioning, and automated testing.- Monitor production models, track drift, troubleshoot issues, and retrain models with new data.- Maintain high-quality code, documentation, experiment tracking, and reproducibility.Cross-Functional Collaboration- Work with domain experts to ensure models reflect real manufacturing constraints.- Partner with backend and platform teams to integrate ML outputs into the Linecraft product experience.- Translate business needs into measurable ML objectives and communicate trade-offs clearly.More about you:● You have worked as an ML engineer for at least 1-2 years● You are proficient in Python and ML/DL libraries: PyTorch, scikit-learn, Pandas, NumPy, etc.● You are familiar using Ops frameworks like Docker, Kubernetes, Flyte/Kubeflow● You have a Bachelors in the Engineering field with a background in Data science.● You are a highly motivated self-starter, eager to make an impact in this space.● You have a demonstrated capability in solving unstructured problems in industry.● You are a great communicator, detail oriented and have a penchant for complex problems.A little bit about Wipro Linecraft AI:Linecraft AI is an Industrial IoT product company founded by serial entrepreneurs with over 30 years of manufacturing-domain experience, along with an MIT graduate and ex-Googler. Our cutting-edge technology collects and analyzes large volumes of data from industrial machines and uses machine learning combined with deep domain expertise to recommend ways to optimize production efficiency.In December 2022, Linecraft AI was acquired by Wipro Infrastructure Engineering. This strategic acquisition has enabled us to scale - expanding our global footprint, strengthening our product capabilities, and accelerating our mission to transform manufacturing productivity. As Wipro Linecraft AI, we continue to operate with the agility of a startup backed by the resources and reach of a global engineering powerhouse.Our mission is to help manufacturers unlock hidden productivity opportunities on their production lines. Using our one-of-a-kind algorithm, we uncover insights invisible to the human eye. Beyond surfacing these opportunities, our platform enhances process workflows and empowers engineering teams to make fast, data-driven decisions.Our product has already delivered unprecedented business impact for global automotive leaders such as Ford, Fiat, Peugeot, CNH, and others. Our early team includes alumni from MIT (Boston), BITS Pilani, IIT Bombay, and Uppsala University (Sweden), with experience at Amazon, Oracle, upGrad, and more.Want to know more about us? Visit our website: