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!
