Experience:

• Experience building end-to-end ML pipelines
• Experience in domain-specific applications such as healthcare, customer service, or automation

Qualification:

• Graduate degree or equivalent experience

Responsibilities:

• Design, develop, and deploy machine learning models and AI solutions in production environments
• Work with large datasets including data cleaning, preprocessing, and feature engineering
• Implement machine learning algorithms using frameworks such as TensorFlow or PyTorch
• Collaborate with data scientists and engineers to integrate AI capabilities into applications and systems
• Monitor, evaluate, and optimize models for accuracy, scalability, and performance
• Apply AI techniques such as NLP, computer vision, or deep learning based on business use cases
• Document experiments, model configurations, and deployment processes
• Communicate technical findings and insights to stakeholders

Additional responsibilities:

• Stay up to date with emerging AI/ML trends including Generative AI and Large Language Models
• Comply with employment contract terms, company policies, and directives including possible changes in work location, teams, shifts, and work arrangements

More skills:

AI solutions, Data cleaning, Preprocessing, Feature engineering, Model versioning, Cloud platforms, Responsible AI, Fairness, Bias mitigation, Model explainability

Other:

• Culture guided by inclusion and career development opportunities
• Commitment to mitigating environmental impact and delivering equitable care addressing health disparities
• Mission to help people live healthier lives and improve the health system