Data Science Engineer
- Product based Fortune
- 3 - 8 years
- Hyderabad
- 21 days ago
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Job Description
Job Summary:
We are looking for a Machine Learning Engineer with strong data engineering capabilities to support the development and deployment of predictive models in a smart manufacturing environment. This role involves building robust data pipelines, developing high-accuracy ML models for defect prediction, and implementing automated control systems for real-time corrective actions on the production floor.
Key Responsibilities:
Data Engineering & Integration:
- Validate and ensure the correct flow of data from Influx DB/CDL to Smart box/Databricks.
- Assist data scientists in the initial modeling phase through reliable data provisioning.
- Provide ongoing support for data pipeline corrections and ad-hoc data extraction.
ML Model Development for Defect Prediction:
- Develop 3 separate ML models for predicting 3 types of defects based on historical data.
- Predict defect occurrence within a 5-minute window using:
- Artificial sampling techniques
- Dimensionality reduction
- Deliver results with:
- Accuracy 95%
- Precision & recall 80%
- Feature importance insights
Closed-Loop Control System Implementation:
- Prescribe machine setpoint changes based on model outputs to prevent defect occurrence.
- Design and implement a closed-loop system that includes:
- Real-time data fetching from production line PLCs (via Influx DB/CDL).
- Deployment of ML models on Smart box.
- Pipeline to output recommendations to the appropriate PLC tag.
- Retraining pipeline triggered by drift detection (cloud-based retraining when recommendations deviate from centerlines).
Qualifications:
Education:
- Bachelor's or Masters degree in Computer Science, Data Science, Electrical Engineering, or related field.
Technical Skills:
- Proficient in Python and ML libraries (e.g., scikit-learn, XG Boost, pandas)
- Experience with:
- Influx
- DB and CDL for industrial data integration
- Smart box and Databricks for model deployment and data processing
- Real-time data pipelines and industrial control systems (PLCs)
- Model performance tracking and retraining pipelines
Preferred:
- Experience in manufacturing analytics or predictive maintenance
- Familiarity with Industry 4.0 principles and edge/cloud hybrid architectures
Soft Skills:
- Strong analytical and problem-solving abilities
- Effective communication with cross-functional teams (data science, automation, production)
- Attention to detail and focus on solution reliability
Job Classification
Industry: Pharmaceutical & Life SciencesFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Product based FortuneLocation(s): Hyderabad
Keyskills: Data Engineering Smart Box Data Bricks Python PLC Influxdb CDL Control System Model Retraining Pipe
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