Machine Learning Engineer

Listed as a remote role based in Bucharest, Romania. 📣 Would you like to join a company that puts people at the heart of its concerns? We are waiting for you! Since 2007, Extia, an IT consulting company, has been offering a unique approach in its field by combining well-being at work and performance. Our philosophy at Extia is “First who, then what", so let's go for it! 🚀First who? You have strong analytical and problem-solving skills, ready to tackle complex technical challenges You are an excellent communicator and collaborator, thriving when working alongside data engineers and cross-functional teams You are passionate about driving impactful business decisions and contributing to the energy transition This role is hybrid, 2 days per week in the office (Bucharest). 🚀Then what? Machine Learning Engineer focused on designing, developing, and deploying machine learning models that drive impactful business decisions, with the following tasks: Design, build, and deploy ML models using Python, TensorFlow, and PyTorch, ensuring they are robust, scalable, and optimized for performance Build end-to-end pipelines, ensuring models are production-ready and seamlessly integrated into existing systems Utilize SageMaker's built-in algorithms and tools to streamline workflows Develop and manage big data processing workflows using Apache Spark on AWS EMR Utilize Amazon Redshift and S3 for data storage, processing, and analysis Use MLFlow for experiment tracking, model management, and versioning Schedule and automate data processing tasks and model training workflows using Apache Airflow Collaborate closely with data engineers to ensure smooth integration of ML models into production Required technical skills: Min. 4 years of experience in machine learning engineering, including building and deploying models at scale Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field Strong programming expertise in Python and experience with Spark for distributed data processing Hands-on experience with AWS services (EMR, SageMaker, Redshift, S3) Ability to write clean, maintainable, production-level code adhering to software engineering best practices (version control, testing, CI/CD) Experience with MLFlow (or similar) for managing the ML lifecycle and Apache Airflow for automation Good English knowledge (upper intermediate level) 🚀 Do you recognize yourself in the "Who" and represent the "What"? Apply and let's talk! Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting