We are seeking an AI/ML Engineer to join our Data and AI department.
The ideal candidate will have proven experience in AI/ML engineering, strong programming skills in Python, deep knowledge of LLM fine-tuning and evaluation techniques, and a strong understanding of MLOps and model deployment practices.
What's great in the job?
- Competitive remuneration and bonus scheme linked to individual performance and company results
- Standard working hours (Monday-Friday) and home office option
- 25+ days annual paid leave
- Work flexibility and remote work
- Food vouchers
- MultiSport card
- Employee Assistance Program
- Working place in a class A building situated a few steps form a subway line and public transport
- Opportunities for personal and professional growth
- Additional health insurance (outpatient & hospital medical care, dental care, coverage of dioptric glasses and more)
- A detailed company training on highest standards
- A chance to work in friendly and supportive culture
- Tremendous growth opportunities in fast moving international team
Responsibilities
- Develop and implement AI-driven solutions
- Design, fine-tune, and evaluate large language models (LLMs) for various business applications
- Work with large datasets to extract insights and improve decision-making
- Build and manage MLOps pipelines for model lifecycle management, versioning, CI/CD, and automated retraining
- Maintain and monitor trained modelsfor performance and reliability.
- Design and develop AI-powered agents that automate internal workflows, integrate seamlessly with enterprise systems, and enhance operational efficiency
- Leverage open-source LLM frameworks (such as Unsloth, PyTorch, AnythingLLM, n8n and/or others) to design, adapt, and develop AI-driven solutions
- Maintain high standards in responsible AI, bias detection, fairness, and explainability
- Collaborate with software engineers, business analysist, and product teams to design scalable AI solutionsStay up to date with the latest advancements in AI/ML technologies
- Share AI knowledge and learning resources across teams to build company-wide AI expertise
- Create engaging learning resources (e.g. guides, tutorials, presentations) to support internal AI knowledge sharing
Requirements
- Proven experience in AI/ML engineering. 4+ years in machine learning engineering, and 2+ years with focus on LLM and Gen AI
- Solid understanding of core machine learning paradigms such as supervised, unsupervised, and reinforcement learning, along with algorithmic approaches (e.g., decision trees, clustering, Q-learning, etc.)
- Strong programming skills in Python
- Deep knowledge of LLM fine-tuning and evaluation techniques
- Strong understanding of ML Ops and model deployment practices
- Experience with Azure AI/ML Services and frameworks such as Unsloth, AnythingLLM, LangChain , etc
- Proven track record of deploying ML models to production
- Familiarity with RAG architectures, vector databases and embedding models
- Proficiency in Prompt Engineering
- Experience with distributed computing and large-scale data processing
- Experience with cloud platforms Azure, AWS, etc.
Must Have
- Understanding of ML system security and threat models
- Knowledge of AI ethics, bias mitigation, and responsible AI practices is a plus
- Strong analytical thinking and creative problem-solving skills
- Good communication skills for collaborating with cross-functional teams and stakeholders
- Excellent problem-solving skills and a passion for AI innovation.