Data Intelligence Machine Learning Engineer
Core
Design and implement in-house tools to automate data labelling pipelines, reducing reliance on manual annotation by leveraging Active Learning, Weak Supervision, and Synthetic Data Generation.
Role type
Senior IC machine learning engineer (data-centric AI)
Builds
Automated labelling systems, Human-in-the-Loop workflows, and scalable data preparation infrastructure
Domain
Consumer electronics, data-centric AI, computer vision/NLP
Deliverable
production ML models
Required skills
Python, PyTorch or TensorFlow, Weak Supervision, Active Learning, SQL, NoSQL, DVC, feature engineering, data visualization
Preferred skills
Experience with Snorkel, Cleanlab, cloud ML labelling services (AWS/GCP/Azure), data cleansing and transformation
Technologies
Snorkel, Cleanlab, PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, DVC, AWS SageMaker, GCP Vertex AI, Azure ML, Jupyter, Tableau, Power BI
Responsibilities
Architect end-to-end automated labelling systems; Build Human-in-the-Loop interfaces; Implement algorithmic checks for data denoising; Integrate labelling tools with data lakes and MLOps pipelines; Fine-tune teacher models for pseudo-label generation; Maintain robust data preparation infrastructure; Perform data visualization and analysis
Seniority
Senior, hands-on IC
