Quick overview
Job description
Overview
We are looking for AI/ML Engineers to build, deploy, and maintain machine learning models and data-driven systems at scale.
What You’ll Do
- Develop and train machine learning models
- Deploy models into production environments
- Build data pipelines and workflows for model training and inference
- Collaborate with software and DevOps teams for integration
- Monitor model performance and optimize over time
- Support the full ML lifecycle (data → training → deployment → monitoring)
Core Skills
- Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with data processing and feature engineering
- Understanding of model evaluation and performance tuning
- Experience deploying ML in production environments
- B.S. degree in a technical field and 3+ years of experience
Nice to Have
- MLOps / model lifecycle tools
- Cloud ML services (AWS SageMaker, Azure ML)
- Experience with large-scale or real-time systems
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