ML / DevOps Engineer Lead at National Agency for Science and Engineering Infrastructure (NASENI) | Abuja, Nigeria
Company/Recruiter: National Agency for Science and Engineering Infrastructure (NASENI)
Published on: 9:38 PM | May 4, 2026
✦ AI Summary
National Agency for Science and Engineering Infrastructure (NASENI) is at the forefront of driving scientific and technological innovation across Nigeria.
National Agency for Science and Engineering Infrastructure (NASENI) is at the forefront of driving scientific and technological innovation across Nigeria. We are seeking a visionary and highly skilled **ML / DevOps Engineer Lead** to join our dynamic team in Abuja. This is a pivotal role for an individual passionate about bridging the gap between machine learning development and robust, scalable operational infrastructure.
Job Overview
As the ML / DevOps Engineer Lead at NASENI, you will be instrumental in building and maintaining the infrastructure that powers our cutting-edge machine learning initiatives. You will define and implement best practices for continuous integration, continuous delivery (CI/CD), and automated deployment of machine learning models. This role demands a strategic thinker with a deep understanding of both MLOps principles and cloud/hybrid infrastructure management, ensuring the reliability, scalability, and efficiency of our ML-driven solutions. You will lead the charge in operationalizing complex ML systems, making them accessible and impactful for our national projects.Key Responsibilities
- * Design, implement, and manage end-to-end MLOps pipelines, from data ingestion and model training to deployment, monitoring, and retraining. * Develop and maintain robust CI/CD strategies for machine learning projects, ensuring rapid and reliable deployment cycles. * Architect and manage scalable cloud or hybrid infrastructure solutions, leveraging services from providers like AWS, Azure, or GCP, and on-premises resources. * Implement comprehensive monitoring and alerting systems for ML models in production, tracking performance, drift, and potential issues. * Automate infrastructure provisioning, configuration management, and deployment processes using tools like Terraform, Ansible, or equivalent. * Collaborate closely with data scientists and ML engineers to understand their needs and translate them into production-ready solutions. * Establish and enforce security best practices for ML infrastructure and data pipelines. * Lead and mentor a team of DevOps and ML engineers, fostering a culture of collaboration, innovation, and continuous improvement.
Requirements
- * Proven experience in a lead or senior role encompassing both MLOps and DevOps principles. * Strong proficiency in designing, building, and managing CI/CD pipelines for machine learning workloads. * Extensive experience with cloud platforms (AWS, Azure, GCP) and/or hybrid cloud environments, including infrastructure as code (IaC) tools. * Deep understanding of containerization technologies (Docker) and orchestration platforms (Kubernetes). * Demonstrated experience with scripting languages (e.g., Python, Bash) and their application in automation. * Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and their deployment considerations. * Excellent problem-solving skills and the ability to troubleshoot complex infrastructure and deployment issues.
What We Offer
- * The opportunity to contribute to nationally significant scientific and engineering endeavors. * A collaborative and intellectually stimulating work environment with leading experts. * The chance to shape the future of MLOps and AI infrastructure in Nigeria. * Opportunities for professional development and continuous learning in emerging technologies. * A competitive compensation and benefits package commensurate with experience and qualifications.