Senior AI & Machine Learning Engineer

We are looking for a Senior AI & Machine Learning Engineer to support the design and evolution of our clients' AI and machine learning platform. You will help build scalable ML/LLM solutions, develop robust model pipelines, and enable production-grade AI capabilities that support data-driven decision making across the organization.

Key Responsibilities

• Design and implement machine learning models, including deep learning, time-series forecasting, recommendation systems, and LLM-based solutions
• Build and manage end-to-end ML/LLM pipelines, from experimentation through production deployment
• Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) for domain-specific use cases
• Build retrieval-augmented generation (RAG) architectures using vector databases (e.g., FAISS, Azure Cognitive Search)
• Contribute to solution architecture for real-time and batch AI use cases, including conversational AI, enterprise search, and summarization
• Collaborate with data scientists, cloud engineers, and product teams to translate business needs into production-ready AI features
• Apply best practices for model monitoring, security, and governance across ML environments
• Provide technical guidance and mentorship to junior and mid-level engineers
  

Requirements

• 5+ years of experience in machine learning engineering, AI/ML platform engineering, or related roles
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, or Scikit-learn)
• Hands-on experience with LLM/GenAI tooling: LangChain, Hugging Face Transformers, or similar orchestration frameworks
• Experience with at least one major cloud platform (Azure, AWS, or GCP) and containerization (Docker, Kubernetes)
• Solid understanding of MLOps practices — CI/CD for ML, model versioning, monitoring
• Strong knowledge of SQL and experience with large-scale data processing
• Strong analytical thinking and problem-solving skills
• Good communication and collaboration skills

Nice to Have

• Experience with AWS Bedrock or comparable managed GenAI services
• Cloud certification (e.g., Azure Solutions Architect, Azure AI Engineer, Terraform Associate)
• Familiarity with IoT, edge analytics, or smart-building/industrial systems
• Experience with Infrastructure-as-Code tooling (e.g., Terraform) for provisioning ML environments
• Knowledge of data privacy and governance considerations for enterprise LLM use

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