Machine Learning
1 month ago
IT job vacancies in Kenya.
Job Summary
Reporting to the Head, Data Analytics, this role is responsible for helping create the future of smart financial services which requires the highly intelligent use of data, metrics and analytics. To fill this role, we are seeking high-potential data scientists with exceptional skills in Machine Learning (ML), Artificial Intelligence (AI) and Scalable Computing. This role will assist in all phases of project work, including problem identification, formulation, model development, and deployment.
Read>>How To Answer Interview Questions Confidently
Key Responsibilities
- Analyze source data and data flows, working with structured and unstructured data.
- Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships and trends.
- Apply AI and Machine Learning technology to solve complex, real-world problems.
- Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely.
- Fulfill problem formulation and ML technique consulting requests in a timely manner.
- Communicate and present analytical models to business customers and executive management.
- Work collaboratively with different business partners and be able to present results in a clear and concise manner.
- Design, develop, and implement state-of-the-art AI techniques; reproduce and apply existing algorithms/methods/models for financial applications.
- Innovate and advance AI techniques; evaluate and improve AI algorithms/methods/models currently used.
- Assist with image data curation, processing, and analysis; create and maintain optimal data pipelines by conducting regular quality and reproducibility checks.
- Assist with developing and deploying AI educational workshops/seminar series for research faculty/staff to accelerate AI adoption.
- Communicate results/findings; draft and edit scientific abstracts, presentations, and journal articles. Present work at workshops, seminars, and conference proceedings within and outside of ICEA LION.
The PersonFor the above position, the successful applicant should have the following:
- Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Economics, Mathematics, Business or Physics.
- Master's degree and professional qualifications will be added advantage.
- 2+ years of experience of software development with Python/Scala/R/ C++/technical languages.
- 1+ years working with Artificial Intelligence / Machine Learning tools and techniques.
- Experience building deep learning solutions for real-world applications, such as Computer Vision, Natural Language Processing, time-series analysis or anomaly detection.
- Sound understanding of Financial Services/Insurance technologies.
- Excellent relationship management skills.
- 2+ years of experience with Machine Learning or Artificial Intelligence techniques in one or more of the following: advanced neural network architectures, regression, classification and clustering.
- Demonstrated ability in the application of Machine Learning or AI in realworld settings with large scale data.
- Experience with Deep Learning tools such as TensorFlow, PyTorch or other frameworks on GPUs.
- Experience with Agile software development.
- Experience with parallel and distributed computing is a plus.
- Strong oral and written skills.
Read>>How to Draft a CV: 5 Tips to Create One That Gets ResultsHow To Apply
If you meet the requirements of this job, please submit your application and resume in the form below or send it through to by Monday, 23rd July 2024. Please quote "Data Scientist (Machine Learning & AI)" on the email subject line. Only shortlisted candidates will be contacted.
- Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Economics, Mathematics, Business or Physics.
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