Machine Learning Engineer pro data experty

Job offer

We are looking for:

We are seeking a passionate Machine Learning Engineer eager to develop and deploy innovative NLP solutions. This position is suitable also for recent graduates and PhD candidates in AI or ML who are looking to apply academic insights to real-world challenges. The ideal candidate will have experience with Large Language Models and NLP, showcasing the ability to tackle complex problems with innovative machine learning approaches.

What you will do:

• Develop, train, and fine-tune Large Language Models for various NLP tasks, ensuring their effectiveness and efficiency in real-world applications.
• Deploy machine learning models into production environments, ensuring their scalability, reliability, and seamless integration with existing systems.
• Manage and optimize the entire data pipeline, including data collection, cleaning, and preprocessing, to prepare high-quality datasets.
• Design, implement and evaluate precise and efficient prompts for Large Language Models.
• Implement rigorous model testing and validation to ensure high-quality solutions.
• Collaborate with cross-functional and truly multinational teams to integrate machine learning capabilities into the company's products and services.
• Keep up to date with the latest developments in the field and incorporate best practices into the real-world solution.
• Mentor junior engineers and contribute to the team's growth by sharing knowledge and expertise.

Requirements:

• Proven experience in Machine Learning or AI field with a focus on NLP.
• Solid understanding of machine learning and deep learning algorithms and their real-world advantages and limitations.
• Familiarity with state-of-the-art machine learning models for NLP tasks.
• Strong programming skills in Python.
• Proficient in at least one of the following frameworks: PyTorch, TensorFlow.
• Practical experience with ML and data-science libraries such as Scikit-learn. Pandas, Matplotlib.
• Ability to write clean, maintainable, and efficient code.
• Excellent problem-solving skills and willingness to think outside the box.
• Outstanding collaboration and communication skills.

Preferred Qualifications:

• Experience with cloud services (e.g., AWS, GCP, Azure) for deploying scalable ML solutions.
• Practical knowledge of SQL, experience with both SQL and NoSQL databases
• Knowledge of containerization (Docker).
• Familiarity with continuous integration and deployment (CI/CD) practices.
• Experience with optimization of machine learning models, e.g. quantization, knowledge distillation, Low-Rank Adaptation.
• Experience with LLM prompt engineering.
• Experience with fine-tuning Large Language models.
• Experience with NLP

What we offer:

• Location: Prague
• Home office: 2–3 days a week
• Form of cooperation: freelance
• MD Rate: 7.000 – 8.000 Kč/MD (the final amount will depend on proven knowledge and experience)
• Friendly work culture
• Flexible working hours