
Posted 4 days ago
Senior MLOps Engineer
AppodealSenior MLOps Engineer
Requirements
3+ years MLOps or ML Platform experience, Strong Python and software engineering skills, Experience with FastAPI or Flask, Hands-on experience with PyTorch or deep learning frameworks, Experience with Databricks, MLflow, or Unity Catalog, Understanding of distributed computing and Apache Spark, Experience with Docker and Kubernetes, Experience with CI/CD pipelines and GitHub Actions, Strong English communication skills
Skills
PythonDatabricksMLflowPyTorchApache SparkDockerKubernetesGitHub Actions
About the role
Responsibilities
- Design, operate, and improve the ML platform, including Databricks workflows, MLflow, and Unity Catalog.
- Support data scientists in developing end-to-end training pipelines, covering data processing, feature transformations, and GPU-based training.
- Ensure reliable model inference by validating models before promotion and monitoring latency and metadata compatibility.
- Maintain ML observability through online and offline monitoring, data parity checks, and automated performance validation.
- Develop internal tools and APIs to enable efficient model experimentation and promotion.
Requirements
- 3+ years of experience in MLOps, ML Platform Engineering, or Backend roles supporting production ML systems.
- Strong Python and software engineering skills, including experience with FastAPI or Flask.
- Hands-on experience with PyTorch or other modern deep learning frameworks and GPU optimization.
- Solid understanding of distributed computing and data processing using Apache Spark.
- Experience with Databricks (Jobs, MLflow, Delta, UC) or an equivalent cloud-based ML platform.
- Proficiency with Docker, Kubernetes, and CI/CD pipelines (e.g., GitHub Actions).
- Strong English communication skills and a proactive, ownership-driven mindset.
Preferred Qualifications
- Exposure to high-load, low-latency ML inference environments.
- Knowledge of large-scale ML training frameworks and multi-GPU setups.
- Familiarity with Databricks Asset Bundles or the Rust programming language.
- Understanding of ONNX or other portable model serialization formats.
- Experience with data engineering concepts, CDC patterns, or S3-compatible storage like MinIO.
Benefits
- Opportunity to work on cutting-edge projects with global impact in the mobile app industry.
- A collaborative and inclusive work culture that values innovation and continuous learning.
- Competitive salary and a comprehensive benefits package.
- Professional development opportunities and career growth within a fast-growing company.
About the Company
Appodeal is a dynamic US-based product company with a global presence and offices in Barcelona, Warsaw, and Florida. We are a leader in the mobile app monetization space, dedicated to helping people grow their talents through products that enable successful mobile app businesses.
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Appodeal · Barcelona
