Machine Learning Engineer - Generative AI

at  SIEMENS ENERGY

A SNAPSHOT OF YOUR DAY

Are you passionate about machine learning and cloud computing? Do you want to work on cutting-edge solutions that leverage artificial intelligence to solve real-world problems? Do you have the skills and experience to design, implement, and manage scalable and reliable ML pipelines and platforms? If yes, then we have an exciting opportunity for you.
GenAI is a leading provider of AI solutions for various industries, such as healthcare, finance, retail, and education. We help our clients transform their businesses with innovative and customized AI applications that enhance efficiency, accuracy, and customer satisfaction.

HOW YOU’LL MAKE AN IMPACT

We are looking for an Machine Learning Engineer to join our team and lead the development and deployment of our ML solutions. As an ML Engineer, you will be responsible for:

• Design, implement, and evaluate large-scale language models and generative AI systems for various domains and applications.
• Research and apply the latest advances in natural language processing, deep learning, and generative AI.
• Collaborate with other machine learning engineers, data scientists, and domain experts to understand the requirements and challenges of natural language processing and generation tasks.
• Optimize the performance, scalability, and reliability of language, vision models and generative AI systems.
• Communicate the results and insights of machine learning experiments and projects to stakeholders and clients.

• Design, implement, and evaluate large-scale language models and generative AI systems for various domains and applications.
• Research and apply the latest advances in natural language processing, deep learning, and generative AI.
• Collaborate with other machine learning engineers, data scientists, and domain experts to understand the requirements and challenges of natural language processing and generation tasks.
• Optimize the performance, scalability, and reliability of language, vision models and generative AI systems.
• Communicate the results and insights of machine learning experiments and projects to stakeholders and clients