Generative AI Engineer

Location:

Region: North
Country: Germany

Role:

Rate: €90 - €100 per hour

Application Details:

Start Date: ASAP
Expiry Date: 14/07/2025
Job Reference: JSGAI_1750069838

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.

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L&D Team

We are very lucky that g2 recruitment see Learning and Development as a vital part of a consultants journey which is why we have 4 people in the team who you will work very closely with from day 1 in your career. The team are on hand to guide you through your career at all levels and provide extra support working closely with the management team to give all consultants the best chance of success.  

Our Three Pillars of Training

Academy:
Week 1 is a series of remote sessions to learn all things systems, followed by a 1 week academy process which is a mixture of classroom and deskside this will be in one of our UK offices and usually consists of 3-8 other consultants all starting their journey together.

Experienced Modules:
These are a variety of sessions curated by us designed to support consultants as they are progressing through the career ladder, the aim is to ensure consultants at all levels have access to L&D.

Junior Management Programme:
Ran by our head of L&D this programme is designed to support junior managers as they start their management career. This involves things like personal branding, time management and ends in a business plan which is presented to members of the Exec board and senior management team.

Jaz123
Jaz D’Avola
Head of Learning & Development

Jaz joined g2 Recruitment in 2013.

She now leads our Learning and Development programme, transferring the knowledge and wisdom she learnt as a recruiter to the new generation of talent.

Imani
Imani WIlliams
Learning and Development Consultant

Imani joined g2 Recruitment in 2022.

His role involves developing individuals in all areas of the business, varying from inducting and onboarding consultants to working with them 1 to 1 to identify areas of development.  He aids with growth of L&D across the business, watching consultants experience and develop.

Meghan1
Meghan Mcloughlin
Learning and Development Consultant

Meghan joined g2 in 2023 as an L&D consultant, Working in recruitment for 6 years, her role is to  help consultants at all levels to upskill and focus on development points. This could be anything from sales calls or candidate calls to organisation improvements.

Kane Gray
Systems & Academy Trainer

Kane joined g2 in April 2023 as an Academy & Systems Trainer.

His role involves teaching the consultants that are new to the company the foundations of recruitment and our systems before then helping them to upskill in areas specific to each consultant. Working closely with different consultants and watching them implement the feedback, apply it, and then benefit off the back of it.

Candidates

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Clients

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