Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw and Barcelona, 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 enable creators to start and scale successful mobile app businesses. 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 in Barcelona. 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, Sage Maker, Data Robot, Airflow, Dagster, etc.;
Fluency in Python, a good understanding of Linux, and knowledge of frameworks such as sci-kit-learn, Keras, Py Torch, Tensorflow, etc.;
Experience with Dev Ops 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 Cloud Formation 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 (Dev Ops/MLOps);
Working knowledge with Snowflake, Big Query, and/or Databricks;
Experience with Docker and Kubernetes;
Working knowledge of some Vector Databases (Open Search, Qdrant, Weaviate, Lance DB, etc.);
Experience with High-Load Systems;
Experience with one or more large language models Frameworks like Open AI SDK, Amazon Bedrock, Lang Chain, and Llama Index.
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!
We regret to inform you that this job opportunity is no longer available