Senior AI & Machine Learning Engineer

We are looking for a Senior AI & Machine Learning Engineer to design, develop, and deploy AI-powered solutions. You will build machine learning models, work with Large Language Models (LLMs), and develop scalable AI applications that support business growth and innovation. You will collaborate with cross-functional teams to bring AI solutions from idea to production.

Responsibilities

Develop and deploy AI and machine learning solutions using Python

Build, train, test, and improve machine learning models

Work with large datasets to create predictive and intelligent applications

Develop AI-powered features, including automation, recommendation systems, forecasting, and generative AI solutions

Integrate AI models into production environments and business applications

Collaborate with engineers, data teams, and stakeholders to understand requirements and deliver solutions

Monitor model performance and continuously improve accuracy and reliability

Support and mentor other engineers when needed

Requirements

5+ years of experience in AI, Machine Learning, or Data Science roles

Strong Python programming skills

Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn

Hands-on experience building and deploying machine learning models

Experience working with Large Language Models (LLMs) and Generative AI tools

Knowledge of SQL and data processing techniques

Experience with cloud platforms such as Azure, AWS, or GCP

Familiarity with Docker and modern software development practices

Strong analytical and problem-solving skills

Good communication and teamwork skills

Nice to Have

Experience with RAG (Retrieval-Augmented Generation) solutions

Experience with LangChain, Hugging Face, or similar AI frameworks

Knowledge of MLOps, model monitoring, and CI/CD practices

Cloud or AI-related certifications

Experience working with enterprise AI applications

What we offer

Full-time employment or contract-based agreement

For the Macedonia-based employees:

Working from home possibility

Private health insurance

Monthly Gym membership

Access to education and professional improvement

Working with great people in a culture that supports both autonomy and collaboration

Office perks: great location, modern equipment, unlimited coffee & tea, fruits, spacious lounge area

Team-building activities