We are Datawiz, a Ukrainian product IT company that has been developing online data analytics and process automation services for the retail industry for over 11 years.

Our clients include supermarket chains, gas stations, and pharmacies across 25+ countries worldwide.

We are currently looking for an AI Engineer to help us create and enhance innovative business analytics solutions for the retail sector.

Requirements:

• 2+ years of experience in ML/AI engineering (product development, not just research).
• Strong proficiency in Python.
• Knowledge of LLM (Large Language Models) and experience integrating them into business solutions.
• Hands-on experience applying LLMs to textual or hybrid (text + numerical) data tasks.
• Experience with Time Series Analytics: data analysis, forecasting, preprocessing.
• Knowledge or practical experience in Reinforcement Learning on numerical data.
• Ability to design and configure algorithmic decision-making models.
• Ability to identify relationships between different types of numerical time series (e.g., economic, weather, commercial data).
• Experience delivering production-ready ML solutions.
• Higher education in a technical or mathematical field.

Nice to have:

• Experience working with Model Context Protocol (MCP),Agent Development Kit, or LangChain.
• Participation in projects related to demand forecasting, pricing, or resource allocation.
• Experience working with the LightGBM library.

Responsibilities:

• Working on an AI assistant, improving the quality of its outputs.
• Developing, training, and validating data-driven models.
• Creating and refining algorithms to detect patterns and trends in data.
• Integrating AI/ML solutions into the platform’s products.
• Collaborating with analysts, developers, and product teams.

We offer:

• Fair financial compensation with regular performance-based reviews.
• Hybrid work format with a flexible schedule (Chernivtsi).
• Ambitious tasks and the opportunity to implement your ideas within the project.
• Opportunities for professional growth and compensation for training.
• Engaging corporate activities: team-buildings, parties, and monthly Happy Friday events (board games night, volleyball, paintball, tennis tournaments, etc.).
• Access to an on-site gym and hand-to-hand combat training with a coach.
• A modern office in the city center with a well-equipped shelter in case of air alerts.

Hiring process:

• Short HR interview;
• Technical interview (hard skills);
• Competency-based interview (soft skills);
• Job Offer 😉

If you’re looking for exciting challenges, a great team, and growth opportunities—apply now, and we’ll get in touch! 😎