As a AI/Machine Learning Engineer, you will design and develop predictive and recommendation models, experiment with state-of-the-art ML/AI techniques (including deep learning), and evaluate their impact on business KPIs. You’ll optimize data pipelines and model code using PySpark, Pandas, and MLflow, write clean, production-ready code aligned with CI/CD best practices, and collaborate with Data Engineers and stakeholders throughout the entire lifecycle — from data exploration to deployment.
Note: Detailed project information will be shared during the recruitment process.
Our requirements
Experience: 3+ years in Data Science / Machine Learning.
Hands-on experience deploying predictive and classification models.
Advanced knowledge of Python and ML libraries.
Experience working with large-scale datasets.
Ability to measure model performance in business terms.
Soft Skills: Strong analytical background and problem-solving mindset.
What we offer
Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
Hybrid work setup – remote days available depending on the client’s arrangements
Collaborative team culture – work alongside experienced professionals eager to share knowledge
Continuous development – access to training platforms and growth opportunities
Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
High quality equipment – laptop and essential software provided
Senior AI/ML Engineer Miejsce pracy: Kraków Technologies we use Expected - Python Optional - AWS - https://jobeax.com/link/JSd7UYCSg572jJDY - JavaScript About the project We are looking for a Senior AI/ML Engineer with strong hands-on experience building and deploying AI solutions in real-world products. This role requires ...
... protection – into every agent workflow, including any automated output that reaches an external party Master’s degree in computer science, Machine Learning, Data Engineering or a related field, 5+ years of overall software/ML engineering experience and 2+ hands-on GenAI/LLM/agentic experience, Strong, hands-on experience with ...
... automation of paper-based customer surveys - OCR combined with text analytics and sentiment analysis - Processing multilingual documents and forms - Supporting new AI-driven automation initiatives emerging in the project pipeline Requirements: - Strong experience in Data Engineering - Hands-on expertise with Azure Databricks ...
... practices. The role works across Data Engineering, Product, Risk and Commercial teams to turn business problems into measurable AI solutions. Strong production ML experience, Python, Spark/PySpark, SQL and ML lifecycle expertise are central to the position. Day to day that means the Senior AI/ML Engineer – Applied AI Lead ...
Operating system, Windows About the project, We are looking for an experienced AI Engineer who will be responsible for designing, deploying, and maintaining AI/ML solutions in production environments. The role combines expertise in Machine Learning Engineering, MLOps, and basic administration and optimization of GPU infrastructure ...
... technical documentation., Collaborate with cross-functional teams in an international environment. Minimum 4 years of commercial experience as a Developer or AI Engineer., Strong proficiency in Python., Practical experience working with LLMs and Generative AI., Hands-on experience with LangChain and LangGraph., Solid understanding ...
... a network of outstanding global companies. About the Team and Role This is a foundational hire on ML/AI direction at Solidgate — you'll be one of the first engineers building the function from the ground up, working closely with the ML team to shape it.You'll help stand up the ML/AI direction from scratch — on top of 20M+ ...
... more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. - 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data ...
... oparte na sztucznej inteligencji, LLM i analizie danych. Rola obejmuje zarówno tworzenie nowych rozwiązań, jak i rozwój oraz utrzymanie istniejących komponentów AI/ML., , Kluczowe technologie, Python, AI, Machine Learning, LLM, RAG, NLP, Agentic AI, TensorFlow, PyTorch, Prompt Engineering, Generative AI, Cloud, , Tryb pracy: ...