AI/ML Engineer at Jubilee Insurance

Job Ref. No. JLIL010

We currently have an exciting career opportunity for AI/ML Engineer within the Digital Lab Department. The position holder will report to the Chief Data Officer and will be based at Head Office in Nairobi.

Role Purpose

The role holder will analyze and review a broad range of financial data, including transactions, transfers, and payments to uncover potentially fraudulent activity. The ideal candidate must be familiar with data analysis techniques, software, and processes, and should possess the creative problem–solving abilities necessary to suggest new methods of analysis and prevention.

Main Responsibilities

1. Understanding business objectives and developing models that help to achieve these objectives, along with metrics to track their progress.
2. Managing available resources such as hardware, data, and personnel so that deadlines are met.
3. Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
4. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
5. Verifying data quality and data cleaning.
6. Supervising the data acquisition process if more data is needed.
7. Finding available datasets online that could be used for training.
8. Defining validation strategies.
9. Defining the preprocessing or feature engineering to be done on a given dataset.
10. Defining data augmentation pipelines.
11. Training models and tuning their hyperparameters.
12. Analyzing the errors of the models and designing strategies to overcome them.
13. Deploying models to production.

Key Competencies

1. Exceptional mathematical skills to perform computations and work with algorithms.
2. Excellent written and verbal communication skills.
3. Ability to explain complex processes to people who aren’t programming experts.
4. Strong analytical skills.
5. High attention to detail.
6. Innovation and creativity.
7. The ability to work with large, complex datasets.

Qualifications

• Degree in Mathematics, Computer Science, Telecommunications, or any other related field.
• Proficiency with a deep learning framework such as TensorFlow or Keras.
• Proficiency with Python and basic libraries for machine learning such as scikit–learn and pandas.
• Expertise in visualizing and manipulating big datasets.
• Proficiency with OpenCV.
• Familiarity with Linux.
• Ability to select hardware to run an ML model with the required latency.

Relevant Experience

Proven experience as an Artificial Intelligence/Machine Learning Engineer or a similar role.