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Pune · On-site · 4-7 Yrs · Nov 2
3 views
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Hiring: ML Engineer – Predictive Maintenance
Responsibilities
- Develop, optimize, and maintain end-to-end ML pipelines, including data preparation, model deployment, inference, monitoring, and automated retraining.
- Integrate ML models into production pipelines, ensuring scalability and efficient real-time predictions.
- Implement dataset and model version control and automated retraining workflows.
- Develop, test, and document data collection and processing pipelines using IoT sensor and control component data.
- Build scalable data transformation and aggregation pipelines to support ML models.
- Contribute to CI/CD pipelines and automated integration testing for data and ML pipelines.
- Monitor model performance and ensure timely updates and retraining.
- Collaborate with Data Scientists, Data Engineers, IT and Business SMEs, and backend development teams.
- Participate in solution design discussions and contribute to standardizing ML services to improve delivery efficiency.
Qualifications
- Notice Period: Immediate to 20 Days Only
- We are seeking an experienced ML Engineer – Predictive Maintenance for our client's Digital Service Platform team. The role focuses on developing scalable data and machine learning solutions to enable predictive insights and optimize industrial asset performance, maintenance, and sustainability.
- Minimum 4 years of experience in building complex data pipelines and integrating ML solutions.
- Bachelor's or Master's degree in Computer Science, IT, Data Science, or equivalent.
- Strong programming skills in Python and Java; PySpark preferred.
- Hands-on experience with data modeling, ML workflows, and MLOps practices.
- Experience with stream processing frameworks such as Spark.
- Familiarity with TensorFlow, PyTorch, or MLflow.
- Proficiency in cloud platforms, preferably Azure and Databricks.
- Experience in data quality management, pipeline monitoring, and robust data pipelines.
- Predictive Maintenance model development experience is an added advantage.
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Job application FAQ
Last updated 8 November 2026
- How do I apply for ML Engineer – Predictive Maintenance at RefRelay?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. RefRelay may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this ML Engineer – Predictive Maintenance role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is ML Engineer – Predictive Maintenance remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this ML Engineer – Predictive Maintenance role at RefRelay?
- This is a mid-level ML Engineer – Predictive Maintenance role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.