Machine Learning Engineer

📣 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!