Groww is looking for ML Engineer - III to join our dynamic team and embark on a rewarding career journey
- Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions
- Translate business requirements into machine learning objectives
- Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training
- Address data quality issues and ensure data readiness for machine learning tasks
- Model Development:Develop and implement machine learning models using state-of-the-art algorithms
- Experiment with different models and approaches to achieve optimal performance
- Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters
- Evaluate model performance using appropriate metrics and iterate on improvements
- Deployment:Deploy machine learning models into production environments
- Collaborate with DevOps and IT teams to ensure smooth integration
- Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time
- Regularly update and retrain models to adapt to evolving data patterns
- Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment
- Create user guides and documentation for end-users and stakeholders
- Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals
- Participate in cross-functional team meetings and knowledge-sharing sessions
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