Senior Machine Learning Engineer - Team Lead
Athina, Attica, Greece
Applications have closed
Kaizen Gaming
Welcome to Kaizen Gaming, the leading GameTech company in Greece and one of the fastest-growing in Europe. Check out our History, Brands, and Open Positions.We are Kaizen Gaming
Kaizen Gaming is the leading GameTech company in Greece and one of the fastest-growing in Europe, with the Stoiximan brand in Greece and Cyprus and Betano in Germany, Romania, Bulgaria, Czech Republic, Portugal, Brazil, Chile, Peru, Ecuador and Canada. Our aim is to leverage cutting-edge Technology in order to provide the optimum experience to those who trust us for their entertainment.
The Team
At Kaizen, our aim is to make data driven decisions in order to automate our services while also focusing on offering tailored customer experiences to our customers. Our machine learning team is dedicated towards this mission by building a variety of models, from binary classification tasks up to recommendation systems. We focus on transforming business needs into production applications, and we cover a wide range of business sectors utilizing different data types and handling a broad project diversity.
Our teams comprise of three different roles, data scientists, machine learning engineers and data engineers so that they include the full skillset to deliver projects to production.
The Role
We are looking for an experienced machine learning engineer to lead our platform team. The team is responsible for the feature store, a central application that computes hundreds of features on a 24 hour basis in real time. It is used to support all ML applications which run predictions on the aforementioned features. The role should combine software engineering skills with strong knowledge of MLOps and machine learning algorithmic understanding.
Responsibilities:
- Develop production ready pipelines;
- Implement model diagnostics such as evaluation, monitoring flows etc.;
- Automate model deployment, enable REST API model endpoints;
- Develop scalable model serving flows;
- Work on cluster optimisation and scalability;
- Develop and maintain internal tools and libraries;
- Lead the technical decisions and mentor the rest of the team;
- Architecture scalable solutions in a distributed environment;
- Write CI/CD pipelines;
Requirements
Must have:
- A background in Computer Science, Statistics, Math or related field;
- Deep understanding of the ML project lifecycle;
- Hands-on experience with MLOps;
- 5+ years of hands-on experience in Python;
- Solid software background in OOP;
- Knowledge of version control tools and application development processes;
- Understanding of machine learning algorithms;
- Experience with Spark (PySpark or scala);
- Strong skills in teamwork, communication and analytical thinking;
- Fluency in English, both oral and written.
Nice to have:
- Understanding of Structured Streaming;
- Experience with Azure / Databricks, Azure DevOps;
- Knowledge of SQL;
- Knowledge of MLflow and/or Kuberflow.
Kaizen Gaming Perks
🕑We offer both work from the office (hybrid model) & remote working options.
🏃 A buddy will support you with your onboarding.
💸Competitive salary package and bonus scheme.
👩⚕️ Health and life insurance for you and your family.
💰 Monthly allowance for lunch & commuting expenses.
💻Nice rigs - 2.5K monitor, latest i7, tons of RAM, fast SSD.
📚 Pluralsight, unlimited access to Udemy & continuous training for all your learning and development needs.
⭐Clear career paths & a developmental 360° feedback framework.
✈️ Relocation package and "Brain Gain" relocation bonus for Greek expats.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Azure CI/CD Classification Computer Science Databricks DevOps Engineering Machine Learning Mathematics MLFlow MLOps Model deployment OOP Pipelines Privacy PySpark Python REST API Scala Spark SQL Statistics Streaming
Perks/benefits: Career development Competitive pay Equity Relocation support Salary bonus
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