
Machine Learning Engineer
1 week ago
What You'll Do
Domain‑Driven Model Development
- Lead end‑to‑end ML projects (predictive maintenance, golden‑batch optimization, fault‑detection) in manufacturing, energy, water and building contexts.
Data Engineering & Feature Work
- Ingest and preprocess time‑series sensor, PLC, and historian data.
- Engineer features for equipment health, process stability ("golden batch" profiles), energy/water efficiency.
Modeling & Deployment
- Build and validate models (classification/regression) using scikit‑learn, TensorFlow/PyTorch.
- Containerize and serve via TensorFlow Serving, ONNX Runtime or equivalent. Monitor model drift and retrain pipelines in production.
Cross‑Functional Collaboration
- Design and document APIs, message‑queue integrations (Kafka/RabbitMQ) for downstream apps.
Must‑Have Qualifications
Deep Industry Experience
- 3+ years in Manufacturing or relevant roles in Energy, Water or Building Automation.
- Hands‑on understanding of shop‑floor processes, PLC data, preventive vs. predictive maintenance.
ML Fundamentals
- Solid grasp of backpropagation, F1‑score vs. confusion‑matrix trade‑offs, over/under‑sampling.
Software & Data Skills
- Python: threading, async, type‑hints; familiar with pandas, NumPy.
- SQL: complex JOINs, GROUP BY, window functions.
- APIs & Queues: REST/gRPC design, Kafka or RabbitMQ.·
Deployment Frameworks
Experience with TensorFlow Serving or ONNX Runtime on Kubernetes or edge‑devices.
Bonus
- Computer Vision: OpenCV, image‑processing pipelines for visual inspection.
- Edge AI: Raspberry Pi, Jetson Nano or similar—optimizing models for constrained hardware.
What We're Looking For
- Domain‑First Mindset: You know that real impact comes from marrying hands‑on equipment knowledge with ML, not just toy datasets.
- Fast Learner: You'll upskill on new algorithms and tools via online courses and documentation—nothing holds you back.
- Collaborative Communicator: You can translate between data science jargon and operations speak.
- Product‑Obsessed: You see every ML experiment as a step toward a tangible solution for our clients.
Job Types: Full-time, Permanent
Benefits:
- Company Christmas gift
- Company events
- Flexible schedule
- Flextime
- Health insurance
- Life insurance
- Paid training
- Promotion to permanent employee
Work Location: In person
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