Gen AI/ML Engineer

Job Overview

As a Gen AI/ML Engineer, you will design, develop, and implement AI-driven solutions, focusing on generative models to enhance business processes and create cutting-edge applications. You will work on large language models (LLMs), generative adversarial networks (GANs), and other advanced AI frameworks to solve complex challenges while ensuring data privacy, scalability, and ethical considerations.

Reports to

Director of AI Engineering

What will you do?

• Build, fine-tune, and deploy generative AI models (e.g., LLMs, GANs) to solve business problems.
• Optimize generative models for various tasks, including natural language generation, image synthesis, and content creation.
• Modify existing models to meet specific project requirements.
• Work with frameworks like TensorFlow, PyTorch, or Hugging Face to build and deploy scalable solutions.
• Curate, preprocess, and annotate datasets for model training and validation.
• Ensure data quality, compliance, and security throughout the development process.
• Integrate AI solutions into existing systems and workflows.
• Optimize computational costs and scalability of deployed solutions.
• Stay up-to-date with advancements in generative AI, including transformers, multimodal models, and reinforcement learning.
• Experiment with new techniques to improve existing solutions or develop innovative applications.
• Work closely with cross-functional teams.
• Document development processes, model architectures, and system performance for future reference.

What are we looking for?

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• Experience fine-tuning and deploying LLMs for specific use cases.
• Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Knowledge of NLP, computer vision, or reinforcement learning.
• Strong understanding of LLMs (e.g., GPT, LLaMA), diffusion models (e.g., Stable Diffusion), or GANs.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes.
• Knowledge of MLOps tools (e.g., MLflow, DVC) for streamlined development workflows.
• Advanced English level.

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Berlin include:

• Career development and education opportunities within the company
• Home internet reimbursement
• Gym membership through Urban Sports Club - Package M
• Mental well-being program (iFeel)
• Language classes
• Company pension scheme with a company contribution up to 150 EUR per month
• Personal Gaming Account 
• Coffee, fruits, and snacks in the office
• Company events
• Seniority Awards  
• Referral program - You can recommend the best talents to the company and receive a reward  

Please submit your CV in English to ensure smooth processing and review.