Graph Ml Expert

We are seeking an experienced ML expert to join our team. You will be responsible for designing and developing ML, Graph ML, and Deep Learning systems, ensuring their accuracy, efficiency, and scalability. Your role will involve collaborating in an agile environment, conducting research, and staying up to date with the latest advancements in the field.

**Responsibilities**
- Design and develop Machine Learning (ML), Graph ML, and Deep Learning systems in alignment with project requirements and objectives.
- Study and transform data science prototypes into scalable and robust ML solutions, ensuring their accuracy and efficiency.
- Perform statistical analysis and fine-tuning of ML models using test results, optimising their performance.
- Extend existing ML libraries and frameworks to incorporate graph-based approaches, expanding their capabilities.
- Collaborate in an agile and collaborative environment to evaluate business needs, build, and test machine and deep learning systems.
- Train and retrain ML systems when necessary to ensure continuous improvement and adaptability.
- Conduct research to identify and implement appropriate ML algorithms and tools, staying up to date with the latest advancements in the field.

**Required skills**:

- Proven experience as an ML Engineer or similar role, with a track record of developing successful ML solutions.
- Solid understanding of data structures, data modelling, and software architecture, ensuring efficient and scalable ML implementations.
- Proficiency in writing robust code in languages such as Python, Java, and R, with a focus on maintainability and performance.
- Familiarity with machine learning frameworks like Keras or PyTorch and libraries like Scikit-learn, leveraging existing tools to accelerate development.
- Outstanding analytical and problem-solving skills, with the ability to tackle complex ML challenges and deliver effective solutions.
- Excellent communication skills, both written and verbal, with the ability to work collaboratively in a team environment.
- BSc in Computer Science, Mathematics, or a similar field; a Master's degree is a plus, showcasing advanced expertise.

**Soft Skills**:

- Highly structured, independent, and sharp comprehension.
- Focused on and a high level of personal initiative.
- Analytical and problem-solving communication style.
- Professional level of English (written and spoken).
- Communicates on eye-level.

**Why Join**:

- Work with well-known international companies.
- Good renumeration.
- Yearly vacation.
- Regular internal and external training.
- Attend regular Team-Spirit-Events.
- Work with a team that supports your own ideas.
- Work in a vibrant city of Kigali with a modern office.

If you are a dynamic individual with the required skills and soft skills, we would love to get to know you.

Ability to commute/relocate:

- Gauteng, Gauteng: Reliably commute or willing to relocate with an employer-provided relocation package (required)