Job Description
A world-leading talent company, Randstad works daily to find the best opportunities for our candidates, helping them unlock their full potential. We aim to make a positive impact on society by providing equitable opportunities for everyone, regardless of background, and helping them stay relevant in a rapidly changing work environment.
Key Responsibilities:
* Develop and maintain machine learning pipelines to deploy and maintain models in production.
* Implement MLOps and LLMOps concepts to streamline the machine learning lifecycle.
* Create and maintain scalable, robust, and efficient machine learning infrastructure.
* Collaborate with data science teams to understand model requirements and ensure successful integration into software products.
* Communicate with various stakeholders, including data scientists, software engineers, and cloud architects, to ensure models are deployed and monitored in production environments according to best practices.
Requirements:
* Bachelor's or Master's degree in Computer Science, Engineering, or related field.
* Proficiency in Python, with experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
* Strong expertise in building and maintaining ML models and pipelines.
* MLOps and Cloud Knowledge: Strong knowledge of MLOps and LLMOps concepts, with experience in cloud computing platforms, preferably Azure.
* Good communication skills in English.
Offer
Direct contract, food allowance, annual bonus, 25 days of vacation, health insurance.