You have the opportunity to join our team at the position Senior Machine Learning / Artificial Intelligence Engineer.
What will you do?
- Design, develop, and optimize machine learning models for real-world applications
- Build robust data pipelines and perform advanced data analysis using Pandas and NumPy
- Design, build, and deploy AI-powered solutions including AI agents, RAG systems, MCP servers, tool integrations, and cloud-native backend services.
- Develop robust agentic systems with effective approaches to tool usage, memory management, context handling, orchestration, reliability, and safety.
- Develop and train deep learning models using PyTorch
- Integrate Large Language Models into production environments while balancing quality, latency, cost, scalability, and observability.
- Deploy, monitor, and maintain ML models in production environments
- Implement best practices for model versioning, tracking, and reproducibility using MLflow
- Collaborate with data scientists, engineers, and product teams to deliver scalable ML/AI solutions
- Ensure code quality, performance, and maintainability across projects
- Continuously research and apply state-of-the-art AI/ML techniques
- Drive technical design and implementation decisions within your area of ownership, ensuring maintainable, secure, and high-quality solutions.
What skills and qualifications you need to have?
- At least 5 years of experience in machine learning, AI engineering, or related roles;
- Hands-on Engineer with deep knowledge and experience with LLMs, RAGs and AI Agents.
- Strong proficiency in Python and core ML frameworks (Pandas, NumPy, PyTorch)
- Proven experience deploying machine learning models to production
- Solid understanding of MLOps principles and workflows
- Hands-on experience with model versioning and experiment tracking
- Strong problem-solving skills and ability to work independently
- Understanding of statistics, forecasting methods, and quantitative analysis techniques;
- Teamwork and deadline-keeping abilities.
- As an advantage we consider:
- Degree in a STEM field (e.g., computer science, engineering, applied mathematics, statistics, quantitative social sciences or related areas)
- Good knowledge of statistical approaches in one or more of the following machine learning domains, such as:
- Regression (e.g., Linear Regression, Generalized Linear Model, Lasso, Ridge, Elastic Net)
- Classification (e.g., Logistic Regression, Support Vector Machine (SVM), k-Nearest Neighbors (KNN))
- Unsupervised ML (e.g., Kernel Density Estimation (KDE), k-Means Clustering, DBSCAN, Gaussian Mixture Model (GMM))
- Ensembles (e.g., Random Forest, XGBoost, Light GBM, Stacking Regressor, Isolation Forest)
- Deep Learning (e.g., Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory Network (LSTM)
- Experience with distributed training or large-scale data processing
Familiarity with CI/CD pipelines for ML systems
Knowledge of containerization tools (e.g., Docker, Kubernetes)
Background in data engineering or software architecture
Why Information Services?
You will have the opportunity to participate in projects of national significance and be part of the digital future and transformation of Bulgaria.
What you will get in addition if you join us?
- Additional health insurance;
- Public transport full coverage card;
- Referral bonus program;
- Skills development program;
- Work in a team with leading specialists;
- Specially developed “Graduation” program;
- Coffee and fresh fruits at the office;
- Attractive office location.
If you are interested in this position, please send your CV. Only shortlisted candidates will be contacted for interview.