About the project

• Develocraft is looking for a Senior ML Engineer that will be directly employed by our international client from the US. In this project you will be responsible for design and engineering aspects of innovative projects related to search, automatic structuring and understanding of unstructured content. Your role is needed to ensure efficient architectures and low-level design of deep learning-based and LLM-based solutions for high-quality deliverables into products with focus on innovation, scientific research, experimentation, and optimal design

Your responsibilities

• Designing and refining solutions that leverage Large Language Models (LLMs)
• Developing and enhancing machine learning and deep learning pipelines for training, testing, and inference on modern GPU/CPU hardware and in cloud-based environments
• Creating ML/DL systems tailored to meet production-grade performance and scalability needs
• Building and improving data and inference pipelines for deployment in production environments
• Bringing AI and ML models into production environments to deliver real-world value
• Conducting data analysis, preprocessing, and preparation, including dataset transformation and initialization

Our requirements

• Over 4 years of professional experience working on machine learning or ML-driven software engineering projects
• Bachelor’s degree in Computer Science, Mathematics, or a closely related discipline
• Strong programming skills, particularly in Python
• Proficiency in machine learning and deep learning frameworks such as PyTorch or similar
• Familiarity with modern NLP libraries and toolkits, including Hugging Face Transformers
• Practical experience in Natural Language Processing and/or Information Retrieval
• In-depth knowledge of deep learning techniques and architectures
• Strong algorithmic thinking and problem-solving abilities

Optional

• Hands-on experience working in a Linux environment
• Background in designing efficient algorithms and data structures
• Experience developing solutions powered by Large Language Models (LLMs)
• Familiarity with deploying and running inference using serving engines
• Track record of published research in areas related to the role

Technologies we use

What we offer

• 5% annual bonus

• Remote work

• Flexible working hours

• Wellbeing platform – PLN 2000 per year to spend on wellbeing activities or items

• Private insurance

• Medicover healthcare package

• Multisport card

• Unlimited paid time off – after using the statutory 26 days, additional days can be arranged with the manager

• All necessary equipment for work (laptop, monitor, keyboard)