AI/ML Engineer

Role overview

Responsibilities

• check_circle Design, develop, and deploy generative AI models that can handle a wide variety of tasks, including but not limited to content creation, recommendation engines, and chatbots.
• check_circle Work with unstructured data to train models that can generate human-like text, images, and other content forms.
• check_circle Optimize machine learning models and foundation models.
• check_circle Collaborate with cross-functional teams to integrate AI components into larger systems.
• check_circle Stay up to date with the latest AI research and methodologies to ensure the use of best practices in the field.
• check_circle Apply MLOps/LLMOps principles to ensure scalable and efficient model training and deployment.
• check_circle Actively participate in the development and maintenance of AI safety and content moderation systems.
• check_circle Utilize Azure or AWS data science tooling to build and maintain robust AI solutions.
• check_circle Generate ideas for enhancement and assist in the evaluation process for selecting the most suitable technologies.
• check_circle Advance and refine model prompts, chains, RAG (Retrieval-Augmented Generation) systems.
• check_circle Conduct regular technology reviews to stay updated on the latest advancements in AI, machine learning, computer vision, and NLP.

Basic qualifications

• Proven experience in computer vision and NLP workloads.
• Deep understanding of knowledge mining techniques.
• Hands-on experience with generative AI models and familiarity with common use cases for Generative AI.
• Proficiency in Python and familiarity with software development best practices.
• Experience with MLOps/MLLops for maintaining machine learning lifecycle.
• Familiarity with Azure or AWS data science tooling.

Preferred qualifications

• Familiarity with common Machine Learning techniques such as classification, regression, clustering, and deep learning.
• Infrastructure as Code (IaC) knowledge
• Familiarity with DevOps and Agile methodologies in a collaborative setting
• Doctorate degree (PhD) or equivalent research experience

Benefits

• check_circle Possible hybrid model (2 days from the office weekly)
• check_circle Option to participate in trainings and conferences
• check_circle Staff travel benefits from day one
• check_circle Creative work tax deduction
• check_circle Multisport card
• check_circle Private health care
• check_circle Group insurance scheme
• check_circle Possibility of taking part in trainings and certifications
• check_circle Great chance to meet your colleagues in other offices
• check_circle Annual events (i.e. St. Patrick’s Day )
• check_circle Regular social meetings
• check_circle Paid referral system
• check_circle New office building surrounded by great dinettes right in the city centre

About the company