About this role
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