AI/ML Engineer – Generative AI and Azure Specialist

We are seeking a highly skilled and experienced AI/ML Engineer to join our team and lead the design, development, and deployment of cutting-edge machine learning and AI solutions.

The ideal candidate will have a strong background in Generative AI, Large Language Models (LLMs), and hands-on experience with Python and Microsoft Azure.

This role involves building and optimizing AI systems to solve complex business problems while leveraging the latest advancements in artificial intelligence.

Responsibilities:
Design, develop, and deploy machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn
Build and fine-tune Generative AI models (e.g., GPT, BERT, DALL-E) and implement solutions for tasks like text generation, summarization, chatbots, and more
Work with Large Language Models (LLMs), including training, fine-tuning, and deploying them for business-specific applications
Leverage Microsoft Azure AI Services (e.g., Azure Machine Learning, Cognitive Services, Azure OpenAI) for model development, deployment, and scaling
Design and deploy AI/ML solutions on Azure platforms such as Azure Kubernetes Service (AKS) or Azure Functions
Deploy and manage AI/ML models using MLOps practices, including containerization with Docker, orchestration with Kubernetes, and CI/CD pipelines
Integrate AI/ML models into applications via APIs and microservices, ensuring seamless interaction with other systems
Stay updated with advancements in AI and machine learning, including emerging tools, frameworks, and methodologies
Ensure ethical AI practices, including bias mitigation, interpretability and responsible use of generative models

Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence or a related field
4–12 years of hands-on experience in machine learning, deep learning and AI model development
Expertise in Python
Experience with Generative AI models
Proficiency in working with Large Language Models (LLMs) and techniques like prompt engineering and embeddings
Strong knowledge of Microsoft Azure AI Services and deployment tools (Azure Machine Learning, Cognitive Services, Azure OpenAI)
Strong understanding of data preprocessing, feature engineering and working with large datasets
Knowledge of NLP tasks like text generation, summarization and sentiment analysis

Do you have questions about the job?

Or would you like to apply directly and pursue a career at LAPP?

Contact Evanthia Papadopoulou from HR!

Mail:

evanthia.papadopoulou@lapp.com