Machine Learning & AI Expert (Data Science)

Quick Facts

• Role: Machine Learning & AI Expert (Data Science)

Description

You will participate in designing and implementing AI and data analytics solutions, including ML, deep learning, and large language models (LLMs), and integrate them into existing data infrastructure, data warehouses, and analytics platforms. The work covers analysis of large structured and unstructured datasets (text, transactional, and sensor data), building predictive and classification models, and continuously monitoring and optimizing data/model quality using defined success metrics. You will also explore and apply the latest AI/ML technologies, including LLM and GenAI, for data analysis and process automation, working closely with data science, BI, domain specialists, and business stakeholders.

Responsibilities

• Design and implement AI and data analytics solutions using ML, Deep Learning, and LLM/GenAI

• Integrate AI solutions with data infrastructure, data warehouses, and analytics platforms

• Analyze large structured and unstructured datasets (text, transactional, sensor data)

• Build predictive and classification models supporting business decisions

• Monitor data quality and model performance; define success metrics and continuously optimize models and processes

• Collaborate with data science, BI, and domain experts and communicate with business stakeholders to identify and deliver analytics projects

• Evaluate and apply new AI/ML technologies (including LLM and GenAI) for analytics and automation

Requirements

• Higher education degree (preferred: mathematics, econometrics, statistics, quantitative methods, computer science or related)

• Several years of experience in a similar role

• Experience with data science and LLMs, plus deploying ML/AI solutions

• Experience with data platforms and GenAI tools (e.g., OpenAI, LangChain)

• Practical knowledge of Google Cloud Platform, Azure Cloud, or another related cloud

• Knowledge of MLOps and solution architecture

• Programming knowledge (preferred Python) and ML/DL/AI frameworks

• Ability to evaluate PoC vs hype/value

• Advanced English (reading and fluent communication)

• Proactive, business-responsible working style and continuous learning mindset

Benefits

• Stable employment and attractive compensation (including a bonus system)

• Work with modern, international experts

• Opportunity to collaborate with specialists across domains and tackle world-class challenges

• Participation in large, innovative projects

• Access to modern tools and working methods

• Internal mobility within the ORLEN Group and development opportunities in international companies

• Employee mentoring

• Well-being programs

• Family support program

• Access to a cafeteria platform