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Senior AI/ML Engineer

4 days, 9 hours ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
AWS AWS CDK Docker FastAPI GitHub Actions IoT Kafka Machine Learning Microservices MLOps NumPy Pandas PostgreSQL Python PyTorch Random Forest Redis REST API Scikit-learn Snowflake SQL TensorFlow XGBoost
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Catena Clearing

Catena Clearing is a data company founded in 2024 by a team of experts in vertical software, supply chain, and CPG & Retail. Headquartered in New York and backed by Shaper Capital, Catena Clearing offers innovative solutions for visibility data and is ...

Internet Software & Services
View All Jobs 7

Description

  • Build and scale ML pipelines that ingest, clean, and normalize high-frequency telematics and vehicle-sensor data.
  • Develop geospatial and time-series models for dynamic ETAs, route optimization, and driver safety scoring.
  • Deploy anomaly and fraud-detection algorithms for location spoofing and irregular route deviations.
  • Architect predictive models for maintenance, dispatching, and risk scoring using historical, HOS, and real-time data.
  • Optimize real-time model inference latency and throughput for Catena’s low-latency API.
  • Partner with backend engineering and product teams to integrate ML microservices and launch data products.

Requirements

  • 5+ years of experience building, deploying, and maintaining production machine-learning models.
  • Deep expertise in time-series forecasting, geospatial analysis, anomaly detection, and classical ML methods such as XGBoost, Random Forests, and clustering.
  • Experience processing large-scale streaming data, including IoT, GPS, or sensor data, with distributed frameworks.
  • Production-level Python skills, including Pandas, NumPy, Scikit-learn, and PyTorch or TensorFlow.
  • Strong API design, object-oriented programming, and automated testing experience; familiarity with FastAPI and Pydantic.
  • Experience with model deployment, Docker, monitoring, AWS, and tools such as SageMaker, ECS, S3, GitHub Actions, and AWS CDK.
  • Working knowledge of SQL, PostgreSQL/PostGIS, Kafka or Kinesis, Redis, and Snowflake.
  • Experience in telematics, IoT, logistics, fintech, or insurance data is preferred.
  • Experience with geofencing, map matching, trip/stop inference, H3 indexing, multi-tenant data sharing, third-party APIs, or SOC 2 environments is preferred.
  • Must be US-based, authorized to work without sponsorship, and available for occasional team onsite travel.

Benefits

  • Competitive salary, equity, and 401(k) match.
  • Full benefits package.
  • Remote-friendly work environment.
  • High-ownership role with direct access to leadership and influence on product and API direction.

Interested in this position?

Apply directly on the company website

Apply Now

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