Machine Learning Engineer in Constanţa

Spark (nice to have) DevOps Components (nice to have) Databricks/Dataiku/Alteryx (junior) GCP/AWS/AZURE (junior) SQL (regular) Python (regular) Data & Applied Intelligence is a technology hub operating on the local and global markets, with over 200 specialists based in Poland - architects, engineers and analysts whose knowledge and experience range from data analytical architecture to functional and sectoral specialization. Importantly, our team works extensively directly with technology partners (such as Microsoft, AWS, Google, Oracle and Snowflake) implementing the latest innovative solutions that are just appearing on the market. We support our clients comprehensively: from the definition of the Data & Analytics strategy to the comprehensive implementation of solutions, to maintenance and development. We touch the area of Data & Analytics holistically and address all aspects important for organizations that undergo data transformation. Our teams work in many areas, such as Business Intelligence, Big Data, AI / ML, advanced data analytics, Data Governance or the definition of operating models for Data organizations. What will you do? You will work with business stakeholders to identify the real-world problems and propose advanced data models supporting day-to-day decision making in areas of finance, logistics, marketing and sales.You will be involved in industrialization and scaling of ML solutions following MLOps frameworks and best practices.You will have an opportunity to expand your skillset by working with data architects, modelers, DevOps and visualization experts on day-to-day basis. What do we expect from you? Bachelor´s or Master’s in one of the quantitative disciplines: econometrics, computer science, statistics, mathematics, economics or any other related field.Practical knowledge of Python (with key libraries and packages) and SQL.Knowledge of Spark and general familiarity with Big Data concept will be an advantage.Hands-on experience in creating end-to-end data processing pipelines (sourcing, exploration, automation, visualization, etc.)Hands-on experience with at least one of the cloud providers (GCP, AWS, Azure) and/or data analytics platforms (Databricks, Dataiku, Alteryx, etc.)Familiarity with at least some of the key machine learning and statistical methods and modelling techniques, e.g. time series, regression, clustering, PCA, decision trees, association rules, neural networks.Knowledge of additional DevOps components will be considered as an advantage: Docker, Kubernetes, Git, Airflow, Jenkins, etc.Willingness to learn and broaden your functional knowledge (finance, logistics, sales, etc.), as well as presentation/communication/consulting skills. What can we offer you? Stable employment conditions based on an employment contract.Private medical care, life insurance and employee share program.Access to the MyBenefit platform (possibility of using a wide range of products and services, including the Multisport card).Individual support of a Career counselor and a specific path of professional development, as well as the possibility of a session with a Coach.A wide training package (soft and technical training offer, access to the e-learning platform, possibility of co-financing courses and certification).Participation in the implementation of projects on a global scale for the largest international companies from Fortune500 using the latest technological solutions and tools.Employee Assistance Program - free support in one-time legal, financial and psychological consultations.Paid employee referral program.