Why This Role Stands Out
This mid-senior Data Scientist role offers an exciting opportunity to architect and deploy cutting-edge AI/ML solutions, driving significant business impact within a reputable technology company. You'll thrive here if you're passionate about building robust ML pipelines, optimizing models, and ensuring seamless production deployment, all while enjoying the flexibility of a hybrid work model. Apply now to elevate your career in a dynamic and innovative environment.
Quick Overview
Job Description
- Machine Learning & AI Architecture:
Design and architect scalable enterprise AI/ML solutions. Define feature engineering strategies and select the best algorithms to solve complex business problems.
- Model Training & Optimization:
Develop efficient training pipelines and implement distributed training methodologies. Optimize model performance using advanced hyperparameter tuning techniques.
- MLOps & Production Deployment:
Deploy ML models into production using CI/CD pipelines, Docker, and Kubernetes. Ensure scalability, security, and reliability across cloud environments.
- Model Governance & Monitoring:
Establish model validation frameworks, fairness testing, and bias audits. Implement monitoring, drift detection, retraining workflows, and lifecycle management.
- Python & SQL Development:
Write production-grade Python and SQL code for large-scale data environments. Optimize data processing, query performance, and overall system efficiency.
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