Machine Learning Engineer
1 week ago
A data-focused startup developing AI-based and advanced algorithmic technology that enables app owners to reach the most relevant users by predicting interest in real-time and analyzing massive-scale data.
The company is based in Tel Aviv near the train station, operates a hybrid model with two work-from-home days per week, and employs dozens of people.
The role –
- Lead the Machine Learning Engineering (MLE) team with a focus on engineering tasks in ML
- Support all technical aspects of research, including:
- Creating and managing datasets
- Training and fine-tuning models
- CI/CD and deployment of models to production
- Model lifecycle management (versioning, testing, rollout, monitoring)
- Building supporting tools for Data Science teams
- Work extensively with Python, SQL, Spark, Flink, Ray, Dask
- Manage ML infrastructure including GPU cluster scaling, distributed training, inference infrastructure
- Oversee model performance, monitoring, observability, dashboards, alerts, and feature stores
- Handle embeddings, VectorDB, and MPP frameworks
- Implement strategies for code versioning, model rollout, disaster recovery, and performance tracking
Requirements:
- 5+ years of software engineering experience
- 3+ years of hands-on experience in Machine Learning
- Hands-on development experience with Python
- Experience with Spark and/or Flink development
152291
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