Hiring: Process Engineers (2 - 7 Years Experience) Location: Thane (W), Mumbai, Maharashtra Company: Ingenero Technologies (India) Pvt. Ltd. Website: www.ingenero.com
About Ingenero:
Ingenero Inc, USA is a high-end consulting and engineering company and a recognized world leader in technical solution design and profitability improvement based on the latest tool technology available in the current market. We are headquartered in Houston, Texas and all our deliveries are managed from our HQ and technology center in Mumbai, India. INGENERO has a strong execution team with over 8000 man-years of experience; 500+ engineers (~450 Process Engineers) trained at leading engineering and manufacturing companies. INGENERO leverages state-of-the-art software tools (proficiency of more than 100 modeling tools) and techniques with the best available engineering and scientific graduates from top universities/companies across the globe.
Role: Data Analyst / Scientist
Responsibilities: -
- 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.
Requirements:
- 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.
Interested? We'd love to hear from you!
Please share the following details with your application:
Contact:
Shweta Shetty Borse
Human Resources
Ingenero Technologies
sh***a@in*****o.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.
Keyskills: Artificial Intelligence Data Analytics Machine Learning Python Power Bi VBA Data Analysis Aiml Data Visualization
Ingenero is a fast growing KPO company, which provides IT enabled Operations engineering and Technical Services to the Oil & Gas and Petrochemical Industry in developed countries. Ingenero is dedicated to converting operational data into meaningful information and ultimately captured knowledge....