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.