Xebia Poland
Xebia Poland is a pioneering software engineering and IT consultancy company, specializing in providing transformative digital solutions across a variety of industries. They focus on digital strategy, agile transformation, cloud services, data and AI integration, DevOps, and intelligent automation. As an early adopter and global partner of GitHub, Xebia leverages cutting-edge technologies to drive digital transformation for their clients. With a strong emphasis on creating digital leaders, Xebia serves a global clientele, offering consulting, training, nearshoring, offshoring, and managed services. Their mission includes simplifying AI integration in software development, enhancing productivity, and advancing software engineering practices.
Software Development • Agile Development • DevOps • Scrum • Mobile Applications
Senior Machine Learning Engineer
December 5, 2024
Airflow
AWS
Azure
Cloud
Docker
Google Cloud Platform
Hadoop
Java
Kafka
Kubernetes
NoSQL
Python
PyTorch
Scala
Scikit-Learn
Spark
SQL
Tensorflow
Go
Xebia Poland
Xebia Poland is a pioneering software engineering and IT consultancy company, specializing in providing transformative digital solutions across a variety of industries. They focus on digital strategy, agile transformation, cloud services, data and AI integration, DevOps, and intelligent automation. As an early adopter and global partner of GitHub, Xebia leverages cutting-edge technologies to drive digital transformation for their clients. With a strong emphasis on creating digital leaders, Xebia serves a global clientele, offering consulting, training, nearshoring, offshoring, and managed services. Their mission includes simplifying AI integration in software development, enhancing productivity, and advancing software engineering practices.
Software Development • Agile Development • DevOps • Scrum • Mobile Applications
📋 Description
• 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 • contributing to and re-use community best 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 • good verbal and written communication skills in English • Work from European Union region and work permit are required • Nice to have: relevant working experience with Docker and Kubernetes
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