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Machine Learning Engineer
2 weeks ago
GRIT on the lookout for a Machine Learning Engineer with strong Python skills and experience delivering within larger, cross-functional teams. In this role, you'll be responsible for designing, developing, and deploying ML models and AI solutions on Azure, working alongside BAs, developers, and other data professionals.
What You'll Do
- Design, develop, and deploy machine learning models into production environments
- Collaborate with analysts, engineers, and business stakeholders to transform prototypes into scalable solutions
- Enhance MLOps pipelines and ensure performance, reliability, and accuracy
- Leverage Azure ML, AI Search, OpenAI and cloud-based data services
- Monitor, update and maintain ML models to ensure optimal performance
What you'll bring:
- 1+ year of commercial experience in machine learning and Python
- Solid grasp of tools like scikit-learn, pandas, NumPy, matplotlib, Plotly
- Experience working in production environments with Git and cloud (Azure preferred)
- Proficiency in Python (using VSCode or PyCharm)
- Strong problem-solving, time management, and communication skills
- A degree in Computer Science, Data Science, Engineering or related field
- Azure ML experience or certification highly desirable
Highly Desirable:
- Knowledge of MLOps (MLFlow, Optuna), REST APIs (FastAPI, Flask), and Linux
- Experience with PyTorch or TensorFlow
- Familiarity with 3D geometry or IFC/IfcOpenShell
This is a fast moving role Reach out to TJ Tan on or for a confidential discussion.
