AI & Automation Implementation Manager / Lead

20000 - 25000 PLN brutto (CoE)
23000 - 29000 PLN netto + vat (B2B)

Poznań, Województwo Wielkopolskie, Part time remote

Regular / Senior

Full-time

• Company:

  IT-Leaders

• Size:

  Brak informacji

• Team:

  4

Wymagania

• Regular

  • Python
  • PL/SQL
  • Machine Learning

Minimum experience in IT: 5

Job description

Project & Team

You will join a technology and e-commerce company delivering modern hardware, software, and services for both business and individual customers.

The role is embedded in key business areas and works closely with IT, analytics, and operational teams.

You will collaborate with a team of 4 Data Analysts, external technology partners, and business stakeholders across the organization, with the opportunity to gradually build and shape an AI / Data Science function.

Your Role

As an AI & Automation Implementation Manager / Lead, you will be responsible for designing and delivering AI-driven and automation solutions end-to-end — from idea and proof of concept to production deployment and measurable business impact.

Your responsibilities include:

• Designing, building, and deploying AI and automation solutions end-to-end (PoC → production).
• Analyzing business processes and identifying practical AI and automation use cases.
• Working hands-on with data: data preparation, model training, MLOps, pipeline automation, and system integration.
• Supporting data integration across systems with a strong focus on data quality and availability.
• Building AI and analytical capabilities across the organization in cooperation with business and operational leaders.
• Coordinating work across IT, analytics, and business teams.
• Cooperating with technology partners and vendors to test and implement new AI solutions.
• Gradually taking ownership of team leadership and AI/ML competency development.

Your Opportunity

This role offers a real chance to shape how AI is used across the organization, with direct influence on operational efficiency, cost optimization, and revenue growth.

You will:

• Lead impactful AI and automation initiatives with clear business outcomes.
• Work in a hands-on role combining technical depth with business ownership.
• Influence strategic decisions through data-driven insights.
• Grow into a leadership role within AI / Machine Learning.
• Operate in a flexible, modern work environment within a fast-growing technology and e-commerce context.

Requirements

• Proven experience working with AI/ML solutions or process automation, including independent implementation.
• Strong ability to bridge technical expertise with business needs.
• Very good knowledge of Python and SQL.
• Advanced understanding of classical machine learning and deep learning, with the ability to choose the right approach for a given problem.
• Experience working in environments with distributed data sources, systems, and stakeholders.
• Understanding of retail, e-commerce, or services economics (margins, demand, inventory turnover, basket size, campaign effectiveness).
• Practical, hands-on mindset — able to turn data and algorithms into actionable business tools and recommendations.
• Willingness to work hands-on with models, pipelines, and implementations.
• Experience coordinating teams and motivation to grow as an AI/ML leader.
• Very good command of English (documentation, partner collaboration) and Polish

Benefits

• Competitive compensation: fixed salary plus performance-based bonus (approx. 20,000–25,000 PLN gross UoP / 23,000–29,000 PLN net B2B).
• Private medical care and life insurance.
• Budget for training, courses, and sports activities.
• Hybrid work: 2 days a week from the office, 3 days remotely or a minimum of 8-10 days per month 
• Flexible working hours and remote work options.
• Employee discounts on company products and services.
• Casual work environment with no dress code.
• Friendly atmosphere, coffee, relaxation areas, and on-site parking.

Job Specification

• Flexible working hours

  

Working tools

• flexibility in selecting tools