.About the Role Location Portugal Lisboa United States of America Germany Remote vs. Office Hybrid (Remote/Office) Company Organization EVP Global Functions Business Unit Software Engineering & Product Development Full-time Experience Level Mid-level Professional 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. What You Bring Master's degree or PhD in computer science, machine learning, natural language processing, or related fields. Strong experience in developing and deploying large-scale language models and generative AI systems using frameworks such as TensorFlow, PyTorch, Hugging Face, or OpenAI. Proficient in Python and other programming languages for data analysis and machine learning. Familiar with state-of-the-art natural language processing and generation techniques, such as transformers, GPT, BERT, T5, etc. Excellent problem-solving, analytical, and communication skills. Passionate about natural language processing, generative AI, and creating impactful solutions. About the Team Within the enterprise team for Advanced Analytics & AI, we develop new methodologies and tools to enable data-driven decision-making along the value chain improving sustainability, reliability, and affordability of our energy solutions across the globe. We provide guidance and direction to the business and drive the strategy for the development of AI technologies within a partner ecosystem across industry and academia
