We are looking for a hands-on Algorithm Engineer with a strong foundation in statistical modelling and proven experience in Machine Learning.

This position is paving the way for a Multi AI Agents (SLM/LLM) environment, managed by Agentic AI ReAct (Reasoning & Actions), pushing our proprietary Transformer utilization Development.

It is an opportunity to join a highly skilled R&D team and experts, and take part in designing the next intelligent & personalized technology generation, which will change the world's preferences in the next decades.

Responsibilities

• Research, design, and implement advanced algorithms for complex real-world problems.
• Develop and evaluate models in Statistical inference as: Bayesian frameworks, covariance analysis, Monte-Carlo Approach, Time-Series, and tracking systems.
• Apply and adapt ML-based vectoring and embedding techniques (supervised, unsupervised, sequence models), while emphasizing mathematical and statistical rigor.
• Collaborate with software, data, and product teams to integrate algorithms into production systems.
• Analyze experimental data, validate models, and optimize for robustness and scalability.

Requirements

• B.Sc/M.Sc. (Ph.d would be an advantage) in Statistics, Applied Mathematics, Computer Science, Electrical Engineering, or equivalent.
• 3+ years of experience in algorithm development, preferably in Statistics, Advanced Mathematics, and ML/AI domains.
• Proficiency in Python (NumPy, Pandas, SciPy, scikit-learn, Fast-API, Flask, etc.) or similar.
• Experience in Statistical modelling (Bayesian methods, covariance structures, hypothesis testing).
• Experience in data fusion, data structure and complexity, forecasting, predictions, and spatial-temporal modelling.
• Experience in at least one of the following:
• Trackers, Time-Series & estimators, Particle Filters (as Sequential Monte Carlo, MHT, etc.), Probability theory or stochastic processes
• Familiarity with data tech stack integration for automating advanced enrichments as Sparks ETLs, Airflow DAGs, Apache Flink, Kafka, Pub/Sub, etc.
• Strong analytical skills and ability to translate theory into practical solutions.
• Excellent communication skills in English (written & spoken).