AI/ ML Engineer - Junior/ Mid/ Senior

Join our AI Centre of Excellence in Poland, part of a global team of 9,000+ AI experts and data scientists. We partner with leading tech providers (AWS, GCP, Microsoft, Databricks, Snowflake, SAS) to build scalable AI solutions that drive real business impact.

• Contribute to cutting-edge AI initiatives by applying your creativity, critical thinking, and analytical skills.
• Design and implement scalable AI/ML solutions using cloud, generative, and agentic AI technologies.
• Work in agile, cross-functional teams combining technical, business, and data science expertise.
• Your accountability, responsibility, and autonomy will grow with your experience and seniority - we are looking for specialists with various experience levels.

Career Development

• Permanent employment contract
• Individual support from a dedicated People Lead
• Personalized professional development path
• Access to coaching sessions
• Extensive training package including:
• Soft skills, technical, and language training
• E-learning platforms
• Gallup strengths assessment
• GenAI training
• Cloud certification programs

Well-being & Support

• Employee Assistance Program offering legal, financial, and psychological consultations
• Private medical care and life insurance coverage
• Access to the MyBenefit platform, including a wide range of products and services (e.g., Multisport card)

Perks & Incentives

• Paid employee referral program
• Eligibility for quarterly dividends through the Employee Share Purchase Plan (for employees who own company shares)

Working Conditions:

• Location: Our headquarters is in Warsaw, with an additional office in Kraków.
• Flexibility: While most of our work is delivered remotely, our consulting model - through Intelligent Consulting Hub Europe (ICH) - also involves on-site collaboration. You should be willing and able to travel to client locations across Europe (and occasionally beyond) for short or long-term engagements, depending on project needs.
• Hybrid Collaboration: We value in-person time for learning, relationship-building, and team collaboration. As an employer, we aim to be as flexible as possible to support your individual work-life balance and preferences.

Experience Requirements (Cumulative):

• At least 2 years of experience applying data-driven approaches to business scenarios, including the design and deployment of advanced analytics and machine learning algorithms.
• Within this experience, at least 1 year should involve working with generative AI or agentic AI technologies to build scalable AI/ML solutions.

Technical Skills:

Frameworks & Libraries:

• Python-based AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Hugging Face Transformers, Google ADK.

Cloud Platforms:

• Experience delivering analytical projects using one of the following:
• GCP: Vertex AI, Vector Stores, AI Agents
• Azure: Machine Learning, OpenAI, AI Foundry, AI Search
• AWS: SageMaker, Athena, Forecast, Rekognition, Bedrock

Algorithms & Concepts:

• Solid understanding of machine learning and data science techniques including:
• Clustering, regression, classification, forecasting
• Neural networks, hyperparameter optimization
• Natural Language Processing (NLP), Large Language Models (LLMs)

Other Skills:

• Ability to translate complex business requirements into robust, data-driven solutions.
• Strong appetite for continuous learning and skill development in emerging AI technologies.
• Professional working proficiency in English.

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.

Bonus Points If You Have:

Advanced Technical Expertise

• Experience designing AI architectures
• Full-stack LLM engineering
• Building agentic AI systems
• Developing RAG (Retrieval-Augmented Generation) solutions
• Implementing vector-based retrieval architectures
• Applying advanced prompt engineering techniques
• Working with computer vision technologies
• Applying responsible AI principles

⚙️ Tools & Platforms

• Hands-on experience with Databricks
• Familiarity with MLOps tools and practices such as MLflow, Kubeflow, or Airflow

Cloud and AI certifications such as:

• Azure Data Science Associate
• Azure AI Engineer
• Google Cloud Professional Data Engineer
• Google Cloud Data Analytics Professional
• Databricks ML Professional

• Laptop
• Additional monitor
• Headphones
• Business phone
• Windows
• Linux
• OS X

• Can switch project

Packages and extras

• Leisure package for families
• Trainings
• Financial bonus
• Healthcare package
• Leisure package
• Healthcare package for families
• Conferences
• Equity
• Language courses

Amenities

• Cold beverages
• Hot beverages
• Integration events
• Fruits
• Chill room
• Car parking
• Shower
• Bicycle parking