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1 Mykare Health Job
AI / ML Engineer
Mykare Health
posted 8d ago
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Job Description
Mykare Health is looking for AI / ML Engineer to join our dynamic team and embark on a rewarding career journey.
- We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team
- The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services
- The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis
- Responsibilities: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
Employment Type: Full Time, Permanent
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