Senior Machine Learning Engineer
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Job Description
Senior Machine Learning Engineer leading end-to-end development of ML models at Blanc Labs. Collaborating with Data Scientists and AI Engineers to ensure integration and performance in production systems.
Responsibilities:
- Design, build, and deploy end-to-end machine learning models using proprietary datasets
- Own the full ML lifecycle, including data preparation, feature engineering, model training, evaluation, and validation
- Collaborate with Data Scientists to identify and prioritize high-impact ML opportunities
- Work with Principal AI Engineers to ensure models align with system architecture and engineering best practices
- Package and expose trained models as scalable APIs for consumption by AI Engineers and downstream systems
- Build and maintain model pipelines, including versioning, retraining, and continuous improvement workflows
- Monitor model performance in production, ensuring accuracy, reliability, and relevance over time
- Troubleshoot model drift, data quality issues, and performance bottlenecks.
Requirements:
- Strong experience in machine learning engineering, with production deployment experience
- Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience with data preprocessing, feature engineering, and model evaluation techniques
- Hands-on experience deploying ML models as APIs or microservices
- Familiarity with MLOps practices, including model versioning, monitoring, and retraining pipelines
- Experience working with large-scale or proprietary datasets
- Strong software engineering fundamentals (testing, scalability, performance optimization)
- Ability to collaborate effectively with cross-functional teams.
Benefits:
- Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.
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