remote
Principal Machine Learning Engineer - ALMEDIA
ML Engineer
Lead the design and deployment of advanced machine learning solutions for a high‑growth marketing platform, driving product innovation and scaling AI pipelines on cloud infrastructure.
About the role
Key Responsibilities
- Architect, develop, and productionize end‑to‑end machine learning models that power user acquisition and ad targeting across the platform.
- Lead cross‑functional teams to solve the most complex ML challenges, including recommendation systems, ranking algorithms, and real‑time inference.
- Design scalable data pipelines and feature stores using Spark and cloud services to support large‑scale training and serving.
- Mentor senior engineers and establish best practices for model experimentation, monitoring, and continuous integration/continuous deployment (CI/CD).
- Collaborate with product, growth, and analytics teams to translate business objectives into measurable AI solutions.
Requirements
- 5+ years of hands‑on experience building and deploying production ML models, preferably in advertising or consumer‑facing products.
- Deep expertise in Python and major deep‑learning frameworks such as TensorFlow or PyTorch.
- Strong background in large‑scale data processing (Spark, Hadoop) and cloud platforms (AWS, GCP, or Azure).
- Proven ability to design robust, low‑latency inference systems and to lead technical teams.
- Excellent problem‑solving skills and a track record of turning research ideas into production impact.
Skills
pythontensorflowpytorchmachine learningdeep learningaws