Description

Key Responsibilities

• Develop, train, and optimize machine learning and deep learning models for business use cases
• Analyze structured and unstructured datasets to generate actionable insights and predictive outcomes
• Design scalable AI/ML solutions while anticipating potential modeling and operational challenges proactively
• Collaborate with cross-functional teams including Data Engineers, Analysts, Product Teams, and Business Stakeholders
• Implement and maintain production-ready ML pipelines and workflows
• Apply strong Object-Oriented Programming (OOP) principles in model development and deployment
• Contribute to model evaluation, monitoring, and performance optimization
• Work with cloud-native data and AI platforms within the GCP ecosystem

Required Skills & Experience

• 3+ years of relevant experience in Data Science / Machine Learning
• Strong experience in Deep Learning model development
• Proficiency in Python with strong Object-Oriented Programming (OOP) skills
• Ability to identify risks, anticipate challenges, and proactively resolve issues in both modeling and non-modeling scenarios
• Strong analytical, problem-solving, and debugging skills
• Experience working with large-scale datasets and modern ML workflows

Preferred Skills

• Prior experience in Healthcare or Insurance domain
• Hands-on experience with Google Cloud Platform (GCP) services such as:
• Vertex AI
• BigQuery
• Familiarity with cloud-based AI/ML deployment and model lifecycle management
• Exposure to MLOps practices and scalable AI architectures

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or related field
• Strong communication and stakeholder collaboration skills
• Experience working in Agile environments is a plus

Key Skills

Education

Bachelor's or Master's degrees