Job Description
Job Ref. No. JLIL010
Position: AI/ML Engineer
Jubilee Insurance was established in August 1937, as the first locally incorporated Insurance Company based in Mombasa. Jubilee Insurance has spread its sphere of influence throughout the region to become the largest Composite
insurer in East Africa, handling Life, Pensions, General and Medical Insurance. Today, Jubilee is the number one insurer in East Africa with over 450,000 clients. Jubilee Insurance has a network of offices in Kenya, Uganda, Tanzania, Burundi
and Mauritius. It is the only ISO certified insurance group listed on the three East Africa stock exchanges – The Nairobi Securities Exchange (NSE), Dar es Salaam Stock Exchange and Uganda Securities Exchange. Its regional offices are
highly rated on leadership, quality and risk management and have been awarded an AA- in Kenya and Uganda, and an A+ in Tanzania. For more information, visit www.JubileeInsurance.com.
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
1. Degree in Mathematics, Computer Science, Telecommunications, or any other related field.
2. Proficiency with a deep learning framework such as TensorFlow or Keras.
3. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas.
4. Expertise in visualizing and manipulating big datasets.
5. Proficiency with OpenCV.
6. Familiarity with Linux.
7. 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