Machine Learning Engineer

1 week ago


Muntinlupa Central Post Office, Philippines SoluxionLab Full time $70,000 - $120,000 per year

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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