Machine Learning Software Engineering Team Lead
Athens, 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 the world, operating in 13 markets with 2 brands, Betano & Stoiximan.
We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.200 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to press play on potential?
Let's start with the role
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.
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.
As a Machine Learning Software Engineering Team Lead you will
- 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 optimization 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;
- Previous experience in managing a team;
- Write CI/CD pipelines.
What you’ll bring
Must have:
- Deep understanding of the ML project lifecycle;
- Hands-on experience with MLOps;
- 5+ years of hands-on experience in Python;
- 2+ years of experience in leading teams;
- Solid software background in OOP;
- Knowledge of version control tools and application development processes;
- Understanding of machine learning algorithms.
Nice to have:
- Understanding of Structured Streaming;
- Experience with Azure / Databricks, Azure DevOps;
- Knowledge of SQL;
- Knowledge of MLflow and/or Kuberflow.
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Azure CI/CD Classification Databricks DevOps Engineering Machine Learning MLFlow MLOps Model deployment OOP Pipelines Privacy Python REST API SQL Streaming
Perks/benefits: Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Manager jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Business Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Principal Data Scientist jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open ML Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open NLP-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open LLMs-related jobs
- Open Consulting-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs