Generative AI Engineer - Remote - Freelance (12 months) - Hybrid
Role: Generative AI Engineer
Location: Germany
Rate: 90 - 110€ p/h DOE
Contract: 12 Months
Working Model: Remote
Role Overview:
As a Generative AI Engineer, you'll play a pivotal role in advancing our AI capabilities by developing cutting-edge generative models. You'll work on projects that leverage AI for tasks such as text generation, image creation, and other innovative use cases. By collaborating with a dynamic team of engineers and researchers, you'll help drive the development of AI solutions that push the boundaries of what's possible, making a direct impact on our products and customers.
Key Responsibilities:
* Design, build, and deploy advanced generative models using cutting-edge frameworks like GPT, GANs, VAEs, and more.
* Train and fine-tune large models to ensure they meet high standards for performance and quality.
* Develop AI solutions across a range of applications, from text generation to image creation and other creative tasks.
* Research new techniques to continuously improve model efficiency, scalability, and overall performance.
* Work closely with teams across the company to integrate AI-driven solutions into our products.
* Optimize model performance with a focus on speed, resource efficiency, and scalability.
* Stay up-to-date with the latest developments in AI and machine learning.
Qualifications:
* Degree in Computer Science, AI, Machine Learning, or a related field (or equivalent experience).
* Strong hands-on experience in developing and deploying generative AI models (e.g., GPT, GANs, VAEs).
* Solid Python skills and familiarity with AI frameworks like TensorFlow, PyTorch, or JAX.
* Experience working with large datasets and distributed computing environments.
* In-depth understanding of machine learning algorithms, optimization, and model evaluation.
* A creative problem-solving mindset when it comes to AI applications.
* Strong communicator, able to explain complex technical concepts clearly to both technical and non-technical teams.
Preferred Skills:
* Experience deploying AI models in production.
* Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
* Knowledge of reinforcement learning, few-shot learning, and other advanced techniques.
* A strong commitment to AI ethics and a focus on building transparent, responsible AI solutions.