- Location
- Antwerp, Vlaams Gewest, Belgium
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Machine Learning
- Seniority
- Mid
- Education
- PhD
- Source
- Recruitee
Description
As a Generative AI Engineer you specialize in integrating generative AI solutions and applying generative models. Your work enables advancements in various industries for our customers, including data augmentation, RAG systems, virtual assistants, and more, expanding the AI capabilities and driving innovation in applications that require realistic outputs. We are hiring a highly motivated Generative AI Engineer to join our talented engineering team. As a Generative AI Engineer, you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems and drive innovation for our customers. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance the business of our customers.
Some key responsibilities:
Implementing and augmenting generative AI models and tools such as GPT, LLama, langchain, Langfuse..
Implementing and augmenting existing third-party solutions (eg. Microsoft Copilot, etc.) with proprietary solutions and methods to ensure the customer has the best possible integration of generative AI capabilities in his workforce
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 MLOPS pipelines, including data preprocessing, feature extraction, model training, and evaluation.
Developing and maintaining containerized AI back-ends using tools like Docker and FastAPI.
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 best practices and standards for generative AI development within the organization.
Providing technical mentorship and guidance to other team members on the topic of generative AI