Machine Learning Engineer

An award-winning Industrial AI pioneer developing an autonomous manufacturing platform that transforms industrial production lines.

By deploying advanced smart manufacturing recommendation systems and decision-support engines, the company processes massive streams of industrial sensor data to minimize operational overhead, maximize efficiency, and drive predictive optimizations.

The company maintains an elite R&D workforce of 65 professionals, scaling its innovative footprint across global industrial sectors.

Located in Herzliya within short walking distance of the train station, the team operates primarily on-site to maintain tight cross-functional innovation, offering a structured hybrid model with Sundays as a permanent remote work day.

Position Overview-

• Machine Learning / Applied AI Engineer joining a newly established engineering cell to drive the development, optimization, and deployment of real-time ML systems.
• Shifting the balance toward robust development and production implementation, transforming complex theoretical frameworks and data science insights into highly scalable software components.
• Engineering intelligent recommendation algorithms and automation pipelines tailored to handle high-frequency, complex time-series and noisy sensor data generated by industrial machinery.
• Executing targeted model fine-tuning and building production-ready architectures optimized for low-latency decision-making environments.
• Collaborating closely with Data Scientists, Product Managers, and Core Infrastructure squads to embed ML workflows natively into the platform's distributed ecosystem.
• Core Stack & Ecosystem- Python, NumPy, Pandas, Machine Learning Engineering, Time-Series Analysis, Sensor Data Processing, Recommendation Systems, Model Fine-Tuning, and High-Scale Production Deployment.

Requirements-

• Academic Background: B.Sc. in Computer Science, Data Science, Mathematics, Statistics, or a related exact science discipline – Mandatory
• 3+ years of proven professional experience operating as a Machine Learning Engineer, Deep Learning Engineer, or Applied AI Developer – Mandatory
• Expert-level programming mastery in Python, including deep familiarity with core mathematical and data libraries (NumPy, Pandas) – Mandatory
• Demonstrated track record of successfully deploying, monitoring, and scaling ML models in commercial production environments – Mandatory
• Direct technical experience working with time-series data, digital signal processing, or IoT/sensor telemetry – Significant Advantage

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