Machine Learning Data Engineer

Company Introduction

Blissmi is an insuretech / healthtech platform that uses AI to predict and personalize holistic health journeys for full spectrum women's health, mental health (men and women) and fertility (men and women). We help insurance companies reduce claims through implementing preventive health care models in their corporate clients insurance offering, predict claims and tailor premiums using our data and analytics. We also help corporations who are looking to provide a comprehensive health solution that improves employee wellness, boosts productivity, and reduces absenteeism through personalized care and preventive services, whilst achieving their DEI goals.

Job Function

Technology Research and Development

Job Description

• Assist in designing, building, and maintaining data pipelines to process large-scale structured and unstructured datasets.
• Collaborate with others in the team to ensure data availability and quality for training and deploying ML models.
• Optimize data workflows for efficiency, scalability, and reliability.
• Work on data transformation, cleaning, and feature engineering tasks.
• Participate in developing tools and systems for monitoring and analyzing data pipeline performance.
• Explore and integrate new data sources to enrich our AI capabilities.
• Document data workflows, systems, and processes to ensure knowledge sharing and reproducibility.

Work Mode

Part-time

Work Location

Innocentre and/or remote

Preferred Academic Disciplines

Technology

Preferred Skills and Knowledge

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related field.
• Proficiency in programming languages such as Python or Java.
• Familiarity with SQL and database technologies (e.g., PostgreSQL, MySQL, MongoDB).
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) is a bonus.
• Experience or coursework in machine learning concepts, algorithms, and tools (e.g., TensorFlow, PyTorch, Scikit-learn) is desirable.
• Strong analytical and problem-solving skills.
• Team player, good communication skills and expectation setting.
• Fluent in English.