CereBulb transforms organizations by empowering people with data and streamlining processes with technology in their digital transformation journey. As an industry-leading solution integrator, we specialize in Industrial Internet of Things (IIoT), Industry 4.0, and Smart Manufacturing, serving industries like Chemical, Power (Solar, Wind, Thermal, Hydro), Pharma, Manufacturing, Oil & Gas, IT & Telecom, Automotive, Energy, Metals & Mining. We leverage AI-driven solutions to optimize industrial operations, lower costs, and drive innovation. If you're passionate about data science, industrial automation, and AI powered decision-making, this is your opportunity to make a significant impact!
What You'll Do as a Data Scientist:
Industrial Data Analysis & Modeling
Analyze and process industrial data from sensors, machines, and production systems.
Identify trends, anomalies, and insights to enhance operational eAiciency, process optimization, and predictive maintenance.
Develop and deploy Machine Learning (ML) & Deep Learning (DL) models for industrial applications.
Work with industrial automation systems, including PI servers, to optimize real time processes.
Data Preprocessing & Model Deployment
Clean, preprocess, and integrate industrial data from multiple sources.
Implement and optimize ML/DL models using Python, R, TensorFlow, and Keras.
Deploy models on industrial data infrastructure (PI server, edge devices, or cloud platforms).
Monitor and maintain deployed models to ensure reliability and eAectiveness.
Industrial Process Optimization & Visualization
Leverage data-driven insights to optimize production eAiciency, quality control, and energy consumption.
Create interactive dashboards & visualizations using Tableau, ArcGIS, QGIS, Power BI, Plotly, and Dash.
Communicate findings to both technical and non-technical stakeholders eAectively.
What We're Looking For: Education & Experience:
Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related field.
Experience
: Fresher
Technical Skills
:
Proficiency in Python, R, TensorFlow, Keras, and ML/DL model development.
Experience with Time-Series Forecasting, Anomaly Detection, and Predictive Modeling.
Strong understanding of data historians (PI server) and industrial automation.
Knowledge of MLOps, model deployment techniques, and cloud-based data platforms.
Advanced data visualization expertise with Tableau, ArcGIS, QGIS, Power BI, Plotly, and Dash
Job Types: Full-time, Permanent, Fresher
Pay: ₹6,000.00 - ₹12,500.00 per month
Benefits:
Provident Fund
Ability to commute/relocate:
Gandhinagar, Gujarat: Reliably commute or planning to relocate before starting work (Preferred)
Application Question(s):
How soon can you join (In days)
Experience:
Data science: 1 year (Preferred)
Work Location: In person
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