Vacancy title:
Machine Learning Engineer – Nairobi

[Type: FULL_TIME, Industry: Engineering, Category: Science & Engineering]

Jobs at:
WTS Energy

Deadline of this Job:
Friday, July 25 2025

Duty Station:
Kenya | Nairobi | Kenya

Summary
Date Posted: Friday, July 11 2025, Base Salary: Not Disclosed

Similar Jobs in Kenya
Learn more about WTS Energy
WTS Energy jobs in Kenya

JOB DETAILS:

We are hiring on behalf of our client, a renowned IT corporation, for a Machine Learning Engineer to join their team on a contract basis. The successful candidate will work on innovative projects that integrate machine learning models with large language models (LLMs). The role focuses on enhancing natural language understanding in low-resource languages and leveraging domain-specific data to boost LLM capabilities. The ideal candidate will possess hands-on experience in building and deploying ML solutions, a deep understanding of machine learning principles, and a collaborative mindset to work effectively within a research-driven environment.

Key Responsibilities:

• Collaborate with machine learning researchers and software engineers to develop efficient AI training and deployment methods.
• Design, develop, and maintain ML pipelines and APIs that interface with LLMs and other data sources.
• Implement and optimize natural language processing tasks such as question answering and summarization.
• Conduct experiments and performance evaluations of multilingual ML models.
• Create technical documentation and adhere to compliance and data governance standards.
• Support the rapid prototyping and evaluation of ML models with scalable, production-ready code.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
• At least 3 years of experience in machine learning or a related field.
• Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of data structures, algorithms, and model optimization techniques.
• Experience with predictive analytics, statistical modelling, or data mining.
• Familiarity with LLMs and their application in NLP tasks such as summarization and question answering.
• Experience with automatic speech recognition (ASR) models is an added advantage.
• Ability to work both independently and collaboratively in a fast-paced research environment.

Work Hours: 8

Experience in Months: 36

Level of Education: bachelor degree

Job application procedure

Interested and qualified? Go to WTS Energy on www.wtsenergy.com to apply

All Jobs | QUICK ALERT SUBSCRIPTION