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 seeking a talented MLOps Engineer to join our Vector team.

Responsibilities:

Provision of ML AWS resources and infrastructure;
Developing MLOps pipelines leveraging the Amazon AWS platform and its features;
Developing ML-oriented CI/CD pipelines;
Deploying machine learning models in production;
Help customers tackle challenges on a scale using distributed training frameworks;
Using and writing Terraform libraries for infrastructure deployment;
Maintaining infrastructures and environments of all types, from dev to production;
Security monitoring and administration.

Requirements:

Over 3 years of experience in MLOps;
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) on AWS in production;
Experience with one or more MLOps Frameworks like Kubeflow, MLFlow, SageMaker, DataRobot, Airflow, Dagster, etc.;
Fluency in Python, a good understanding of Linux, and knowledge of frameworks such as sci-kit-learn, Keras, PyTorch, Tensorflow, etc.;
Experience with DevOps concepts, CI/CD pipelines, and data security measures, along with expertise in cloud platform architecture;
Knowledge of fundamental computer science concepts including common data structures and algorithms;
Monitor the MLOps tools/approaches landscape to actively identify solutions for various domain problems;
AWS CloudFormation or Terraform templates for configuring AWS services;
Ability to understand tools used by data scientists and experience with software development and test automation;
Excellent English language skills;
Ability to collaborate effectively with diverse teams.

Nice to have:

ML certification (AWS ML Specialty or similar);
GCP or Azure knowledge (DevOps/MLOps);
Working knowledge with Snowflake, BigQuery, and/or Databricks;
Experience with Docker and Kubernetes;
Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc.);
Experience with High-Load Systems;
Experience with one or more large language models Frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex.

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!