Senior MLops Engineer (Remote) at Yassir

Yassir is the leading super App for on demand and payment services in the Maghreb region set to changing the way daily services are provided. It currently operates in 26 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (+$43M in funding) by VCs from Silicon Valley, Europe and other parts of the world including Y Combinator, which is the precursor of the likes of Airbnb, Stripe, Dropbox, Doordash, among others.

We are recruiting to fill the position below:

Job Title: Senior MLops Engineer

Location: Lagos (Remote)
Employment Type: Full time

About the Role

• As the Lead MLOPS Engineer, you will be responsible for developing and maintaining the MLOps infrastructure for Yassir's machine learning projects.
• You will work closely with data scientists, software engineers, and product managers to ensure the successful delivery of high- quality AI models and their integration into our applications.

About your role as MLops Engineer

• Design, develop, and maintain the MLOps infrastructure for Yassir's machine learning projects, including data pipelines, model training, deployment, and monitoring
• Collaborate with data scientists to implement machine learning algorithms and models
• Implement best practices for version control, testing, deployment, and monitoring of machine learning models
• Automate and optimize the machine learning development process
• Manage and mentor a team of MLOps engineers
• Work closely with product managers and software engineers to integrate machine learning models into Yassir's applications
• Collaborate with data engineers to ensure data quality and availability for machine learning projects
• Stay up-to-date with the latest developments in machine learning, MLOps, and cloud infrastructure technologies.

About your experience

• Bachelor's or Master's Degree in Computer Science, Engineering, or related field
• At least 5 years of experience in MLOps, machine learning, or software engineering
• Strong knowledge of machine learning algorithms, frameworks, and tools (e.g.,TensorFlow, PyTorch, Scikit-learn, Keras)
• Proficiency in cloud infrastructure technologies (e.g., AWS, Azure, GCP)
• Experience with containerization (e.g., Docker, Kubernetes) and microservices architecture
• Experience with version control systems (e.g., Git)
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration skills
• Experience managing a team of engineers is a plus.

Application Closing Date
Not Specified.

Method of Application
Interested and qualified candidates should:
Click here to apply online