AI/ML Engineer

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!

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