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Technologies-expected : Python Pandas Databricks Microsoft Azure Apache Spark SQL Git Git Hub Git Lab technologies-optional : Jupyter React.js Tensor Flow Keras scikit-learn Linux about-project : We are looking for a Machine Learning Engineer. The candidate will be responsible for designing, developing, and deploying machine learning models. They will also be involved in data engineering tasks, such as building data pipelines and preparing data for analysis. The ideal candidate will have strong programming skills in Python, experience with cloud platforms (Azure), and a solid understanding of machine learning concepts. Key skills and experience: Python, Pandas, Databricks, Azure Apache Spark, SQL, Fast API, Git Machine Learning (traditional and deep learning), data engineering, data visualization responsibilities : Designing the architecture and developing analytical products. Creating, testing, documenting, and optimizing code. Building and maintaining data pipelines, managing data infrastructure. Data engineering including data acquisition, transformation, and storage. Developing, training, evaluating, and deploying statistical and machine learning models. Refactoring and optimizing existing solutions. Creating component libraries and frameworks for rapid development. Collaborating in a team using tools like Git, Scrum, Jira. requirements-expected : Proficiency in Python and libraries like Pandas. Experience with Databricks platform and Azure services. Practical knowledge of Apache Spark for processing large datasets. Experience working with SQL databases. Familiarity with API development tools like Fast API. Ability to work with version control tools (Git, Git Hub, Git Lab). Experience using analytical tools like Jupyter. Knowledge of Open AI and Retrieval-Augmented Generation (RAG) techniques. Familiarity with data visualization tools like Plotly Dash. offered : Free UNUM health insurance – up to 350 000 PLN (advanced 500 000 PLN). Co-fundating for the PZU, Medicover or Lux Med medical package Access to training platforms (MS certificates, SQL BI, Udemy, internal Delivery Excellence Workshops). Possibility: 100% remote work/ hybrid work / work in office. Flexible working hours. Simple breakfasts, fruit and snacks in our office. Always chilled beverages in our office. Program "Its good to stay with us" - a voucher of PLN 2 500 for an employee with 3-year seniority for any purpose. Paid referral system - get up to PLN 8 000 for referring an employee. A small gift on each anniversary of work at Clouds on Mars. Quarterly budgets for integration. Free parking spot.