Generative AI Engineer
Celanese
Generative AI Engineer
Celanese
Global producer of chemicals and materials
We are currently hiring a highly skilled and motivated Generative AI Engineer tojoin our talented engineering team. As a Generative AI Engineer, you will be responsible fordeveloping and implementing cutting-edge generative AI models to solve complex problemsand drive innovation across our organization. You will work closely with data scientists,software engineers, and product managers to design, build, and deploy AI-powered solutionsthat enhance our products and services.
Designing, developing, and implementing generative AI models and algorithmsutilizing state-of-the-art techniques such as GPT, VAE, and GANs.Collaborating with cross-functional teams to define AI project requirementsand objectives, ensuring alignment with overall business goals.Conducting research to stay up-to-date with the latest advancements ingenerative AI, machine learning, and deep learning techniques and identifyopportunities 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, featureextraction, model training, and evaluation.Developing clear and concise documentation, including technicalspecifications, user guides, and presentations, to communicate complex AIconcepts to both technical and non-technical stakeholders.Contributing to the establishment of best practices and standards forgenerative AI development within the organization.Providing technical mentorship and guidance to junior team members.
You have a degree in Computer Science, Artificial Intelligence, MachineLearning, or a related field. A Ph.D. is highly desirable.You have solid experience of 3+ years in developing and implementinggenerative AI models, with a strong understanding of deep learningtechniques such as GPT, VAE, and GANS.You are proficient in Python and have 5+ experience with machine learninglibraries and frameworks such as TensorFlow, PyTorch, or Keras.You have strong knowledge of data structures, algorithms, and softwareengineering 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 Agilleor Scrum.You possess excellent problem-solving skills, with the ability to think criticallyand creatively to develop innovative AI solutions.You have strong communication skills, with the ability to effectively conveycomplex technical concepts to a diverse audience.You possess a proactive mindset, with the ability to work independently andcollaboratively in a fast-paced, dynamic environment.
Celanese produces and sells a wide range of chemical products and engineered materials for global customers in multiple industries. Its acetyl chain family, including acetic acid, vinyl acetate monomer (VAM), and acetic anhydride, serves as building blocks for coatings, adhesives, and textiles, while its engineered materials include high-performance polymers and composites for automotive, electronics, and medical applications. The company differentiates itself through a broad product portfolio, a strong emphasis on material science, global supply capabilities, and customer-specific formulations backed by ongoing research and development. Its goal is to deliver material solutions that meet customer needs across industries, supported by robust R&D and reliable supply to drive growth for both Celanese and its partners.
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