IT Application Solutions

5 days ago

Hyderabad, India Celanese Corporation Full time
Overview

综述:

Celanese Corporation is a global chemical leader in the production of differentiated chemistry solutions and specialty materials used in most major industries and consumer applications. Our businesses use the full breadth of Celanese's global chemistry, technology and commercial expertise to create value for our customers, employees, shareholders and the corporation. As we partner with our customers to solve their most critical business needs, we strive to make a positive impact on our communities and the world through The Celanese Foundation. Based in Dallas, Celanese employs approximately 13,000 employees worldwide and had 2023 net sales of $10.9 billion. For more information about Celanese Corporation and its product offerings, visit .

Responsibilities 职责:

Key Responsibilities: Document best practices of ML to be followed by the IT Development andBusiness teams for indefectible ML systems and for the efficient flow ofprojects. Identify challenges faced by data analysts and data scientists and developsolutions to integrate into the existing platform. Possess good problem-solving skills and knowledge of machine learningtechniques for solving a range of problems. Possess knowledge of neural network programs and natural languageprocessing. Write programs and algorithms to extract insights from large data sets.

Qualifications 要求:

 6+ years of experience as Machine Learning Engineer with Opticalcharacter recognition. Proficient in contextualizing PDF documents with Enterprise systems likeSAP, TrackSys, Aveva PI etc. Implement AI and ML solutions and establish system operations andmaintenance structures. Provide strategic and operational advice to the stakeholders regardingAI/ML infrastructure to serve current and future needs. Transform data science prototypes and optimise machine learningsolutions for scalability and deployment into production. Design dynamic ML models and systems which have the ability to train,retrain, and untrain themselves whenever required. Periodically evaluate the ML systems and ensure that end solutions are inalignment with corporate and IT strategies. Evaluate the variations in data distribution that affects the modelperformance. Visualise data for insights and perform statistical analysis, applying newinsights to improve the model.Interested in this opportunity?

Note: If you were referred by an employee (they set-up your profile) to this opportunity, you can add and/or update your resume/CV before or after applying to this position.对这个职位感兴趣？注意：如果我们的员工推荐过您应聘这个职位（他为您建立过档案），您可以在申请职位之前/之后，添加/修改您的简历。

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