MLOps Engineer

Appodeal is a dynamic US-based product company with a truly global presence.

We have offices in Warsaw, Barcelona and Virginia along with remote team members located around the world.

Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.

Why Appodeal?

At Appodeal, we’re more than just a company—we’re a team united by a common mission: to help every person discover and grow their talents!

We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.

Here’s what we value, and what we hope you do too:

• Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
• Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
• Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
• Enjoying the Journey: We believe in having fun while working toward our goals.

We are looking for a talented MLOps Engineer to to join our Vector team in Barcelona (Relocation is provided).

Responsibilities:

• Extend and maintain our online inference service (2M predictions per second) in Python;
• Develop ML-oriented CI/CD pipelines (Databricks MLFlow, Dagster);
• Maintain Online/Offline observability;
• Deploying machine learning models in production;
• Enable data scientists to run their experiments, support their model interface in online inference service.

Requirements:

• Over 3 years of experience in MLOps or high load environment;
• Master's or Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience;
• Ability to design and implement cloud solutions and to build MLOps pipelines (entire ML project lifecycle, including data management, experimentation, model training, deployment, and monitoring);
• Experience with data pipelines like Dagster and Airflow;
• Experience with model repositories like MLFlow;
• Experience with various method of model deployment (docker image + API, ONNX binary, joblib etc);
• Fluency in Python;
• Excellent understanding of different formats (JSON, YAML, pickle etc);
• Good understanding of network programming and protocols (TCP, HTTP, GRPC, UDS) and their limitations;
• Deep understanding of linux, docker and k8s (network, sidecars, shared resources);
• Knowledge of fundamental computer science concepts including common data structures and algorithms;
• Test driven development;
• Monitor the MLOps tools/approaches landscape to actively identify solutions for various domain problems;
• Ability to understand tools used by data scientists and experience with software development and test automation;
• Excellent English language skills.

Nice to have:

• Practical experience with Databricks;
• Experience with Docker and Kubernetes;
• Working knowledge of Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc);
• Experience with Online Feature Stores (Hopsworks, RonDB, redis);
• Rust is a big plus.

This position supposes relocation to Barcelona and work from our office in the city center.

Why Join Us:

• Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
• A collaborative and inclusive work culture that values innovation and continuous learning.
• Competitive salary, flexible work arrangements, and comprehensive benefits package.
• Professional development opportunities and career growth prospects within a fast-growing company.

With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.

Join us and help shape the future of mobile app success!