Job Description

Overview ??:

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 www.celanese.com.



Responsibilities ??:

Key Responsibilities:

• Designing, developing, and implementing generative AI models and algorithms


utilizing state-of-the-art techniques such as GPT, VAE, and GANs.

• Collaborating with cross-functional teams to define AI project requirements


and objectives, ensuring alignment with overall business goals.

• Conducting research to stay up-to-date with the latest advancements in


generative AI, machine learning, and deep learning techniques and identify

opportunities to integrate them into our products and services.

• Optimizing existing generative AI models for improved performance,


scalability, and efficiency.

• Developing and maintaining AI pipelines, including data preprocessing, feature


extraction, model training, and evaluation.

• Developing clear and concise documentation, including technical


specifications, user guides, and presentations, to communicate complex AI

concepts to both technical and non-technical stakeholders.

• Contributing to the establishment of best practices and standards for


generative AI development within the organization.

• Providing technical mentorship and guidance to junior team members.


Qualifications ??:

Skills Required:

• You have a degree in Computer Science, Artificial Intelligence, Machine


Learning, or a related field. A Ph.D. is highly desirable.

• You have solid experience of 3+ years in developing and implementing


generative AI models, with a strong understanding of deep learning

techniques such as GPT, VAE, and GANs.

• You are proficient in Python and have 5+ experience with machine learning


libraries and frameworks such as TensorFlow, PyTorch, or Keras.

• You have strong knowledge of data structures, algorithms, and software


engineering principles.

• You are familiar with cloud-based platforms and services - Azure.
• You have experience of 5+ years with natural language processing (NLP)


techniques and tools, such as SpaCy, NLTK, or Hugging Face.

• You are familiar with data visualization tools and libraries, such as Matplotlib,


Seaborn, or Plotly.

• You have knowledge of software development methodologies, such as Agile


or Scrum.

• You possess excellent problem-solving skills, with the ability to think critically


and creatively to develop innovative AI solutions.

• You have strong communication skills, with the ability to effectively convey


complex technical concepts to a diverse audience.

• You possess a proactive mindset, with the ability to work independently and


collaboratively in a fast-paced, dynamic environment.