Generative AI Engineer
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Role:
- Industry: Technology
- Job Type: Contract / Freelance
Application Details:
- Date Posted:
Generative AI Engineer
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.
- Optimise 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, optimisation, 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.
If this role is of interest to you, submit your CV below.
g2 Recruitment are committed to equality of opportunity for all applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships or any other characteristic protected by law.