(Lisbon office x1 day a week *OR* fully remote in Greece)
Xcede is delighted to be working with one of the world’s largest gaming companies on the setup of their existing Data Science & Machine Learning Division. The organization has an enviable wealth of digital / B2C data available to them given the scale of their user base. The company aims to capitalize further on this, hence their ambitious (but well-defined) hiring plans.
We are currently looking for an experienced Data Science Team Lead – someone who combines expertise in Machine Learning, Statistics, Model Deployment, and managerial experience.
The main goal of this unit is to facilitate and enable the ML team’s key projects, which include customer personalization, recommendation engines, pricing algorithms, fraud detection algorithms, marketing models, and A/B testing.
As a Machine Learning Engineer, you will focus on delivering robust and scalable Machine Learning pipelines, supporting the deployment and operation of ML models.
Responsibilities:
1. Design, develop, and maintain scalable model training and inference pipelines in a distributed production environment.
2. Build and manage Python-based microservices to host and serve machine learning models in production.
3. Develop internal tools to support CI/CD/CT, feature engineering, experiment tracking, and versioning of data and models.
Requirements:
1. Hands-on experience with Python in a production environment.
2. Software system design skills.
3. Experience with the end-to-end machine learning project lifecycle.
4. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow).
5. Understanding of machine learning algorithms and models.
6. Experience working with cloud platforms such as Microsoft Azure or AWS.
7. Familiarity with PySpark and Databricks.
If this role interests you and you would like to find out more, please apply here or contact us (feel free to include a CV for review).
#J-18808-Ljbffr