About the job
Job Opportunity Senior AI Developer We are seeking a seasoned expert in machine learning to design and implement cutting-edge solutions for our business needs. You will be responsible for developing and optimizing traditional ML models using techniques such as ensemble methods, SVMs, gradient boosting, and neural networks. This role requires a strong background in time series forecasting and ranking algorithms for complex business applications. Your task will be to create robust feature engineering pipelines that handle real-world data noise and edge cases. Key Responsibilities MLOps & Deployment (25%): Develop MLOps pipelines using MLflow for experiment tracking and model registry management. Deploy ML models using containerization and REST API frameworks. Technical Leadership & Collaboration (20%): Serve as a technical sounding board for AI team members on ML architecture and approach decisions. Mentor team members on best practices for production ML system design and implementation. Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
Requirements
- Machine Learning
- MLOps
- Feature Engineering
- Time Series Forecasting
Preferred Technologies
- Machine Learning
- MLOps
- Feature Engineering
- Time Series Forecasting
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