AI Engineer
Formamind is looking for a talented AI Engineer to join our team and help build intelligent solutions that transform how our clients operate. You'll work on cutting-edge AI/ML projects, from natural language processing to computer vision, developing and deploying production-ready AI systems that solve real business challenges.
Salary Range
130–170 PLN/hour gross
Employment Model
Contract of mandate (zlecenie) or B2B
Work Mode
Remote
We're looking for someone who:
- Holds a master's degree in Computer Science, Data Science, Machine Learning, or equivalent
- Speaks English at minimum C1 (advanced) level
- Speaks Polish (optional, but welcome)
- Has 4+ years of professional experience in AI/ML engineering
- Expert knowledge of Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Solid understanding of machine learning algorithms, deep learning architectures, and statistical methods
- Experience with LLMs, transformer architectures, and prompt engineering
- Proficient in data preprocessing, feature engineering, and model optimization
- Has deployed ML models to production using MLOps practices and tools
- Experience with cloud ML services (AWS SageMaker, Google AI Platform, Azure ML)
- Comfortable with containerization (Docker) and orchestration (Kubernetes) for ML workloads
- Knowledge of vector databases and embeddings for retrieval-augmented generation (RAG)
- Experience with A/B testing and model performance monitoring in production
- Understands ethical AI principles and bias detection/mitigation techniques
- Strong problem-solving skills and ability to translate business requirements into technical solutions
What you'll be doing:
- Design, develop, and deploy machine learning models and AI solutions for various client projects
- Build and maintain data pipelines for training and inference workflows
- Implement natural language processing solutions, including chatbots and text analysis systems
- Develop computer vision applications for image/video processing and analysis
- Create and maintain MLOps pipelines for model training, validation, and deployment
- Optimize model performance and implement efficient inference solutions
- Collaborate with data scientists to transition research models to production systems
- Monitor model performance and implement retraining strategies
- Stay current with AI/ML research and evaluate new technologies for client applications
- Work with clients to understand their AI needs and propose technical solutions
What we offer:
- Opportunity to work on cutting-edge AI projects across multiple industries
- Access to latest AI/ML tools, frameworks, and cloud computing resources
- Flexible working hours and 100% remote setup
- Conference attendance and continuous learning opportunities
- Competitive compensation with performance bonuses
- Collaborative environment with data scientists and ML researchers
- Team‑building events and a supportive, innovation-focused culture
Additional Information
Bonus: experience with reinforcement learning, generative AI, edge AI deployment, and research publication background.
Ready to join our team?
Send us your CV and let's discuss how you can contribute to our innovative projects.