AI/ML Engineer

🏆 Objective

Build, and operationalize scalable AI/ML solutions that power Curacel’s core insurance products—automating claims adjudication, detecting fraud, and enhancing customer engagement—while collaborating closely with cross-functional teams to translate business needs into high-impact technical deliverables. This role aims to accelerate Curacel’s growth in emerging markets by driving continuous improvement of model performance, ensuring robust production deployments, and upholding the highest standards of data privacy, security, and ethical AI.

🥷🏽 How you'll help us achieve it

You will;

• Develop, optimize, and maintain AI/ML models and pipelines for Curacel’s insurance products
• Collaborate with cross-functional teams to understand business needs and translate them into technical AI solutions.
• Deploy machine learning models in production environments with robust monitoring and performance tuning.
• Perform data analysis, feature engineering, and experimentation to improve model accuracy and reliability.
• Participate in code reviews, documentation, and knowledge sharing to promote best practices across the AI engineering team.
• Stay current with AI research and emerging technologies relevant to insurance and healthcare applications.
• Contribute to the design and implementation of scalable cloud-based AI services on AWS and Google Cloud.
• Assist in troubleshooting and resolving AI system issues and production incidents.
• Work in an agile environment, delivering incremental improvements and iterative prototypes.
• Engage in mentoring junior engineers and collaborating on team skill development.

🚀 Requirements

• 4+ years of professional experience in AI/ML engineering or software engineering with AI focus.
• Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with data engineering tools and ETL pipelines.
• Hands-on experience deploying machine learning models to production using cloud platforms
• Solid understanding of machine learning algorithms, model evaluation, and feature engineering.
• Experience with containerization (Docker) and orchestration (Kubernetes) is a plus.
• Familiarity with natural language processing (NLP) and computer vision techniques is advantageous.
• Knowledge of healthcare or insurance domain data and regulatory constraints is a plus.
• Comfortable working in a fast-paced, remote-first, collaborative environment with distributed teams.
• Demonstrated ability to learn quickly, adapt to changing priorities, and take ownership.

Key details

• Health insurance
• 14 day vacation per year
• Monthly data allowance

About Curacel

• Our Mission

  Our mission is to make it easy and pleasant to drive up insurance inclusion in emerging markets using technology.

  More than 3 billion people all over the world are not protected from the risks they face in their daily life. These people try to build a successful life for themselves and their families, but any of those risks can set them back by years.

• Our Product

  We are building the rails to make insurance work for the next billion people in emerging markets.

  Curacel creates APIs that enable insurers to connect with digital distribution channels and to administer their claims cost effectively.

  • Curacel Grow- Add insurance to any product
  • Curacel Health- Process insurance claims faster & Detect fraud in claims process
  • Curacel Pay- Process insurance payment flows
  • Curacel Auto- Revolutionising motor insurance with cutting-edge AI

• Our Team

  • Young, Ambitious & Passionate
  • 30+ odd product, engineering, biz & ops Curalytes in 4 countries
  • Empowering 15+ insurers (AXA, Liberty, Old Mutual) in 10 markets
  • Backed by Y Combinator (W22), Google, Tencent and many more great investors