Senior Machine Learning Engineer

Summary

Join Xebia, a leading digital solutions provider, as a Machine Learning Engineer. Implement end-to-end solutions for batch and real-time algorithms, work with data scientists to create new product features, and contribute to good software engineering practices.

Requirements

• Ability to start immediately
• Openness to work daily between till 19.00 pm CET
• University or advanced degree in engineering, computer science, mathematics, or a related field
• 7+ years experience developing and deploying machine learning systems into production
• Experience working with a variety of relational SQL and NoSQL databases
• Experience working with big data tools: Hadoop, Spark, Kafka, etc
• Experience with at least one cloud provider solution (AWS, GCP, Azure) and understanding of severless code development
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
• Previous experience developing predictive models in a production environment, MLOps and model integration into larger scale applications
• Experience with Machine and Deep Learning libraries such as Scikit-learn, XGBoost, MXNet, TensorFlow or PyTorch
• Exposition to GenAI and solid understanding of multimodal AI via HuggingFace, Llama, VertexAI, AWS Bedrock or GPT
• Knowledge of data pipeline and workflow management tools
• Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation
• Working experience with native ML orchestration systems such as Kubeflow, Step Functions, MLflow, Airflow, TFX
• Very good verbal and written communication skills in English

Responsibilities

• Implementing end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, model retraining, model deployment and metadata tracking
• Identifying new opportunities to improve business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset
• Working with data scientists and analysts to create and deploy new product features on the ecommerce website, in-store portals and client’s mobile app
• Establishing scalable, efficient, automated processes for data analyses, model development, validation and implementation
• Writing efficient and scalable software to ship products in an iterative, continual-release environment
• Contributing to and promoting good software engineering practices across the team and build cloud native software for ML pipelines

Benefits

• Work from European Union region
• Work permit are required