2 - 7 years
13 - 23 Lacs
Posted:1 week ago|
Platform:
Work from Office
Full Time
- Lead the design, development, and deployment of comprehensive analytics solutions for petrochemical and refinery units. Translate business requirements into scalable, data-driven models and solutions.
- Perform data cleaning, preprocessing, and feature engineering to create high-quality datasets for modeling.
- Develop, validate, and maintain machine learning and deep learning models using Python, focusing on practical, real-world applications for client-specific challenges.
- Apply advanced statistical techniques to analyze large datasets, uncovering trends, patterns, and insights that drive informed decision-making.
- Collaborate closely with a multi-disciplinary team, including Process Engineers, Data Engineers, and UI Developers, to ensure the successful delivery of project objectives.
- Maintain comprehensive and detailed documentation for all projects, ensuring that processes, methodologies, and outcomes are clearly recorded. Prepare and present reports that communicate findings, methodologies, and recommendations to stakeholders in a clear and actionable manner.
- Researching and staying updated on emerging data science tools, techniques, and machine learning models.
- 2-7 years of experience in predictive, descriptive and prescriptive modeling within the Analytics and Machine Learning space. Experience in the petrochemical or refinery industry is highly desirable but not mandatory.
- Strong proficiency in Python, with hands-on experience in machine learning frameworks such as Keras and Scikit-learn. Demonstrated ability to develop, deploy, and maintain machine learning and deep learning models in production environments.
- In-depth understanding of statistical analysis techniques, including time series forecasting and anomaly detection.
- Extensive experience with Python, MySQL and Git.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Proven ability to work effectively in a collaborative, cross-functional team environment.
- Highly self-motivated with a strong desire to learn, explore, and integrate new technologies and methodologies.
- Excellent problem-solving skills and a client-focused mindset.
- Familiarity with cloud-based data processing and analytics platforms along with previous experience with Azure, Databricks, and PySpark is a plus.
Please share the following details with your application:
Human Resources
Ingenero Technologies
shweta@ingenero.com
+91 22 6176 4667
Corporate Office: Unit No. 2, 8th Floor, A Wing, iThink Techno Campus, Pokhran Road No. 2, Thane (W), Mumbai, Maharashtra 400607.
Ingenero Technologies
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