onsite
ML/AI Engineer - EntroMetrix
AI Engineer
Lead the design and deployment of physics‑informed AI models for industrial operations, leveraging Python, deep learning, and cloud infrastructure to deliver actionable insights that boost efficiency and sustainability.
About the role
Key Responsibilities
- Develop and production‑grade physics‑informed machine learning models that predict and optimize industrial process performance.
- Collaborate with data scientists and domain engineers to integrate real‑world sensor data into model pipelines.
- Design scalable data ingestion, feature engineering, and model training workflows on cloud platforms (AWS or GCP).
- Implement model monitoring, drift detection, and continuous improvement loops to ensure reliability in production.
- Communicate model insights to stakeholders, translating technical results into business‑impact narratives.
Requirements
- Strong programming skills in Python with experience in TensorFlow/PyTorch.
- Proven track record in building physics‑informed or domain‑aware ML models.
- Hands‑on experience with cloud data pipelines, containerization, and CI/CD for ML.
- Excellent problem‑solving ability and a passion for applying AI to real industrial challenges.
- Effective communication skills for cross‑functional collaboration.
Skills
pythonmachine learningdeep learning