Senior Product Engineer / Front End Engineer

Role overview talentsafari is seeking a Machine Learning Engineer based in Nairobi. The position centers on developing and improving machine learning models that solve practical business challenges. Success in this role depends on working closely with colleagues from a variety of departments. What you will do Design and implement machine learning algorithms tailored to business needs Collaborate with teams throughout the company to gather requirements and deliver model-driven solutions Optimize models for greater accuracy, stronger performance, and better scalability

Role overview Digital Divide Data seeks an Operations Manager in Nairobi to lead projects in machine learning, autonomous vehicles, and advanced driver-assistance systems (ADAS). This role centers on guiding teams and ensuring smooth project delivery within these technology areas. What you will do Direct daily operations for projects involving machine learning and autonomous vehicle technologies Manage project teams and coordinate work across different departments Assist with integrating new technologies into current processes The team Join colleagues who focus on advancing mobility and technology. The group values collaboration and practical approaches while developing systems that support the future of transportation.

We are seeking a proactive and skilled Assistant Manager of Learning & Development to join our dynamic team at rhg in Nairobi. This role is crucial for enhancing employee skills and promoting a culture of continuous learning within the organization. The ideal candidate will collaborate closely with various departments to identify training needs, design effective training programs, and evaluate their impact on performance.

Ajua, a pioneering startup with Silicon Valley backing, is revolutionizing the Integrated Customer Experience (#IntegratedCX) landscape in Africa. Our Data Science team plays a crucial role in ensuring that Ajua's product offerings not only address our clients' challenges but also elevate their understanding of customer needs to unprecedented levels. We are on the lookout for a Senior Data Scientist to spearhead the development, deployment, and monitoring of advanced analytics and machine learning solutions within our product suite. This role demands a commitment to scientific rigor and statistical methodologies to tackle the multifaceted challenges associated with creating and enhancing Integrated Customer Experience products.Key Responsibilities:Define business requirements and objectives as clear data science problems.Extract, cleanse, and transform relevant data to address various Integrated Customer Experience challenges for analysis, modeling, and reporting.Develop and implement cutting-edge analytics and machine learning models across the Ajua product stack, directly influencing merchants and enterprise clients.Collaborate with product teams to convert product feature requirements and use cases into experiments, leading the design, development, analysis, and reporting of outcomes that drive customer impact.Pursue continuous improvement of data science skills, focusing on problem-solving, writing efficient and maintainable code, mastering Integrated Customer Experience data, and proactively addressing customer and data-related product challenges.Engage in internal Data Science and broader technology project reviews and participate in community meet-ups.Work collaboratively with engineering, product, and customer success teams, ensuring clear and effective communication across all levels of the organization.

Role overview M-KOPA seeks a Senior Data Scientist to join its Credit & Underwriting team. This fully remote position, based in Nairobi, centers on developing machine learning models that guide credit eligibility and pricing. The work directly shapes lending strategies for millions of customers in five African markets. Why join M-KOPA? Make a measurable difference by expanding access to credit for underserved communities. M-KOPA has already provided over $2 billion in credit to more than 7 million customers, with daily payment volumes exceeding 1.5 million transactions. Work at a company recognized on the TIME 100 list of most influential companies and named Africa’s fastest-growing company by the Financial Times for four consecutive years (2022–2025). Support a mission-driven, carbon-negative initiative that has displaced over 2.1 million tonnes of emissions. What you will do Design, build, and improve machine learning models for credit scoring and pricing, with a focus on increasing financial access for customers typically excluded from formal lending systems. Work with large-scale repayment datasets from five African countries, balancing growth and credit risk through data-driven model development. Collaborate closely with a focused team that manages the full lifecycle of credit scoring, loan eligibility, and pricing optimization. Location This is a fully remote role based in Nairobi.

Join Digital Divide Data as a Supervisor in our AI-ML Data Annotation team focused on Advanced Vehicle (AV) and Advanced Driver Assistance Systems (ADAS). In this pivotal role, you will oversee and guide a team dedicated to ensuring high-quality data annotation that drives innovation in AI and machine learning applications. Your leadership will be vital in enhancing data accuracy and supporting the development of cutting-edge technology within the automotive industry.

Develop and implement advanced algorithms and statistical models to extract insights from large datasets, enhance model performance, and ensure data quality through rigorous validation and cleansing processes.Execute data preprocessing, including cleaning and verifying the integrity of data utilized for analysis.Conduct exploratory data analysis to uncover trends and patterns.Research and create innovative statistical models tailored for complex data analysis.

Role Overview M-KOPA is looking for a Data Scientist to focus on Credit Eligibility in Nairobi. This position centers on developing predictive models that shape loan eligibility and pricing for five African markets. The work directly influences lending strategies that reach millions of customers. Impact and Scale The models built in this role help millions of underserved individuals access credit, often for the first time. M-KOPA has already provided more than $2 billion in credit to over 7 million customers and processes upwards of 1.5 million payments every day. This work supports a mission to expand financial inclusion across the continent. Key Responsibilities Develop and refine credit scoring and pricing models to expand access to financial services for customers outside formal lending systems. Work with large-scale repayment datasets from five African markets, building machine learning models that balance growth and credit risk. Own the end-to-end process for credit scoring, loan eligibility, and pricing optimization. Collaborate with engineers, analysts, growth managers, and commercial teams across multiple countries. Why Join M-KOPA? Mission-driven Data Science: Directly contribute to increasing financial access for underserved communities. Recognition: M-KOPA has been named among TIME 100’s most influential companies and recognized as Africa’s fastest-growing company by the Financial Times for four years running (2022–2025). Environmental Commitment: M-KOPA is a carbon-negative company, having displaced over 2.1 million tonnes of emissions.

We are seeking a skilled Platform Engineer to join our dynamic team at Ajua. The ideal candidate will possess the following abilities:Ensure the continuous uptime, performance, stability, and scalability of Ajua’s platform.Collaborate with peers to design, mentor, and refine system architecture and design.Build, maintain, and scale a top-tier public API.Create robust and extensible solutions based on feature requests.Hands-on experience with data processing technologies such as Kafka, Hadoop, and Spark.Work alongside Data Scientists to craft valuable, feature-rich applications.Collaborate with Database Administrators to develop ETL processes and Data Warehouse systems.Partner with Operations to automate processes and enhance service reliability.Familiarity with Machine Learning applications and large-scale data repositories for business intelligence; experience in App development is a plus.Monitor all production systems related to the platform closely.Be available for periodic on-call duties.Thoroughly analyze requirements and propose solutions that effectively address customer pain points.Conduct testing and unit testing to ensure the delivery of high-quality work.Continuously acquire technical skills and knowledge, supporting team development.Maintain comprehensive documentation of development work completed.

At Ajua, exceptional customer experience is at the heart of our mission, and we are seeking a dedicated Customer Success Engineer to deliver a top-tier experience across all our products.The ideal candidate will provide both onsite and remote engineering support, managing the entire lifecycle of incidents and problems to enhance customer satisfaction with Ajua’s offerings. This role demands close collaboration with various teams across all levels of technical support and engineering.Key Responsibilities:Act as a level-two support engineer for production services deployed at customer locations, along with centrally managed services.Implement and maintain monitoring systems at client premises, coordinating with service desk personnel to ensure optimal service uptime.Compile and present service reports, including insights and implementation plans for service improvement.Lead service improvement initiatives that involve customer engagement.Gather and document requirements during the project discovery phase to ensure a smooth delivery process.Convert gathered requirements into comprehensive technical design documents, including Product Definition, High-Level Design, and Low-Level Design documents.Draft technical proposals for various projects.Support sales calls where technical aspects of projects require clear explanations to customers.Deliver on the various technical facets of the Ajua Delivery Model.Foster and maintain strong technical relationships with customers' engineering and business management teams.Assist in reporting requirements as they arise with customers.Develop and engineer support tools to enhance Ajua’s products and services.

Cross Border Talents is seeking a Principal Java Engineer to join our client's team in Portugal. Are you a skilled problem-solver with a solid foundation in software development? Do you aspire to be part of a forward-thinking team that leverages technology to drive positive change?If so, this opportunity could be the perfect fit for you!Our client, a rapidly expanding non-profit social enterprise, operates in the Netherlands, Portugal, South Africa, India, Kenya, and Ethiopia. They specialize in creating digital platforms designed to inspire users—especially young women and adolescent girls—to make beneficial lifestyle choices. By collaborating with local communities, they implement strategies such as reminders, discounts, and reward points to motivate users to access and utilize health products and services.All of their offices are modern, open environments filled with passionate, international colleagues. Whether you're working from our bustling Nairobi office, the rapidly growing South Africa branch, or remotely, our team is youthful, and our culture is vibrant and dynamic. We pride ourselves on a fast-paced, informal, and friendly work atmosphere.Your Role:As the Principal Engineer, you will be responsible for developing and maintaining the software that powers our systems. You will provide guidance on software implementation and delivery while ensuring adherence to technical principles and standards across teams.Your key responsibilities will include:Influencing and implementing software engineering principles in the design, development, maintenance, testing, and evaluation of our software.Collaborating closely with architects and engineering teams to enhance and expand features on our software platform.Utilizing your coding expertise to mentor and coach fellow engineers on complex challenges.

Key Responsibilities:1. Drive the growth of the aftermarket business across various regions within the African territory.2. Address and resolve complaints from customers and dealers, including fault identification and correction.3. Troubleshoot and resolve issues regarding the installation and operation of chillers, packaged units, ducted split systems, and HVAC systems.4. Perform preventive, corrective, and breakdown maintenance on HVAC equipment and systems.5. Select appropriate replacement parts and manage the requisition of spare parts and consumables in accordance with company protocols for repairs and maintenance.6. Regularly maintain and update customer databases, service reports, and equipment maintenance history.7. Provide technical support and troubleshooting assistance.8. Conduct service training programs for service engineers and technicians representing distributors.9. Advise customers on repair options, including cost estimates, and recommend preventive maintenance strategies.10. Prepare quotes and execute service jobs efficiently.11. Respond promptly to emergency situations outside of regular hours to address immediate safety concerns.12. Assist customers in starting up and commissioning supplied equipment.13. Offer telephone and email support to customers for equipment startup or troubleshooting issues.

Role overview Speechify is looking for an iOS Core Product Software Engineer in Nairobi, Kenya. This role centers on developing and enhancing iOS applications that support Speechify’s product experience. What you will do Collaborate with fellow engineers to design and build new features for iOS apps Work on improving app performance and reliability over time Influence the user experience by making careful technical choices Location This position is based in Nairobi, Kenya.

Are you a skilled problem-solver with extensive experience in software development, particularly in Front End Development? If you’re eager to join a dynamic team that leverages technology to drive positive change, this opportunity may be your perfect fit.Our client is a rapidly expanding non-profit social enterprise with a presence in the Netherlands, Portugal, South Africa, India, Kenya, and Ethiopia. They specialize in creating digital platforms that inspire users, especially young women and adolescent girls, to make empowered health choices. By collaborating closely with local communities, they utilize strategic nudges like reminders, discounts, and reward points to motivate users to access essential health products and services.The work environment is vibrant, with open spaces filled with enthusiastic international colleagues. Whether you are based in our main office in Nairobi, the burgeoning office in South Africa, or working remotely, you will find a youthful, global, and dynamic culture. Our atmosphere is fast-paced, informal, and welcoming.As the Frontend Developer Team Lead, your role will encompass both managerial responsibilities and hands-on software development to ensure our platform's success.You will be tasked with coordinating the frontend development team's projects and actively collaborating on cross-team initiatives.Furthermore, you will oversee the maintenance and enhancement of our software platform, ensuring that it remains secure and functional while incorporating new features. Your expertise in software engineering principles will guide the design, development, maintenance, testing, and evaluation processes.

The Tier 3 NOC Engineer at distro plays a key role in maintaining the stability and performance of network infrastructure. This Nairobi-based position covers 24/7 monitoring, incident response, escalation management, and advanced troubleshooting. The engineer works closely with cross-functional teams and ensures service level agreements (SLAs) are met. Network Monitoring and Performance Monitor network infrastructure using SolarWinds, PRTG, Nagios, Zabbix, and the in-house Cosmos system. Track bandwidth, latency, packet loss, and other key performance indicators. Set and maintain monitoring thresholds, alerting policies, and SLA targets. Incident and Problem Management Respond to alerts and outages within SLA timelines. Handle triage, diagnosis, and manage incidents through resolution. Perform root cause analysis and document findings for future reference. Identify trends and recommend preventive actions. Escalation Management Act as the main escalation point for Tier 1 and Tier 2 support teams. Escalate advanced technical issues to Tier 4 engineers or specialized teams as needed. Coordinate vendor support and lead bridge calls during major incidents. Facilitate communication among technical teams, management, and stakeholders. Network Operations and Maintenance Apply firmware updates, patches, and configuration changes. Configure routers, switches, firewalls, load balancers, and wireless controllers. Set up VLANs, access control policies, and VPNs. Carry out change management and maintenance tasks. Troubleshooting and Support Resolve issues across LAN, WAN, MPLS, SD-WAN, and wireless networks. Troubleshoot protocols such as BGP, OSPF, EIGRP, and STP. Analyze network traffic using Wireshark and tcpdump. Address DNS, DHCP, firewall, NAT, and VoIP issues. Handle SSID requests, conference room issues, and special support requests. Field Technician Coordination and Dispatch Coordinate dispatches for PMS troubleshooting and connectivity issues with field technicians. Conduct WiFi site surveys, coverage assessments, and wireless optimization. Oversee third-party vendor troubleshooting for video, VoIP, and conference room technology. Manage onsite troubleshooting and vendor escalations. Documentation and Collaboration Maintain current network documentation, topology diagrams, and standard operating procedures. Prepare post-incident and root cause analysis reports. Participate in capacity planning and ongoing improvement projects. Collaborate with engineering, logistics, equipment teams, and third-party vendors to integrate new technologies.

About ShareAt Share, we are revolutionizing the Internet Service Provider landscape in Africa by creating a cutting-edge, fully automated software-defined network. Our innovative approach integrates fiber, wireless technologies, and intelligent routing into a cohesive ecosystem that empowers ISPs to thrive.About the RoleWe are in search of a Lead Systems Engineer to take charge of the compute, storage, and platform infrastructure that powers our network. You will be instrumental in developing systems that facilitate automated provisioning, AI-enhanced network operations, and real-time telemetry across various markets. This role offers the opportunity to work on greenfield projects, where you will make critical decisions regarding database management, service deployment, and intelligent automation instrumentation. If you are passionate about leveraging AI for network optimization and eager to construct adaptive infrastructure, this position is tailored for you.Key ResponsibilitiesPlatform InfrastructureDesign and implement virtualization platforms (Proxmox, KVM) across distributed Points of Presence (PoPs).Oversee Kubernetes clusters for platform services and microservices deployment.Architect scalable storage systems (Ceph, ZFS, TrueNAS) for network telemetry and operational data.Develop and maintain AAA infrastructure (FreeRADIUS with Percona MySQL cluster) handling thousands of concurrent users.Implement essential services: DNS, NTP, syslog, DHCP, and IPAM.Database & Data SystemsDeploy and fine-tune time-series databases (TimescaleDB, InfluxDB) for scalable network metrics.Design data pipelines that support AI/ML models for network automation.Establish backup, replication, and disaster recovery plans.Create unified data architectures connecting physical infrastructure (fiber, devices, PoPs) with logical network states (IP allocations, routing, VLANs) and operational telemetry into usable systems.Develop data pipelines that link network events to billing and SLA compensation processes.AI-Driven Network OperationsConstruct the telemetry and observability stack that empowers intelligent network operations, enabling proactive management and optimization.

Role Overview Hudson Manpower is hiring a Mechanical Design Engineer focused on Distribution Transformers for a position based in Saudi Arabia. This role requires hands-on experience designing transformers up to 5 MVA, 33 kV class. The position supports both engineering and production teams, with a strong emphasis on technical accuracy and collaboration. Location Saudi Arabia Main Responsibilities Design and develop distribution transformers up to 5 MVA, 33 kV class. Create and review detailed engineering and fabrication drawings, as well as Bills of Materials (BOM). Prepare and evaluate technical submittals for projects. Work closely with teams across Production, Sales, Purchasing, Quality Assurance, suppliers, and customers. Complete drafting and design assignments on schedule, aligning with production and project deadlines. Support manufacturing and fabrication processes as needed. Promote new design approaches and contribute to ongoing improvement efforts. Follow all quality, safety, and environmental standards throughout project work.

Speechify builds technology that turns written content into audio, helping over 50 million users learn and access information in new ways. Our text-to-speech tools work with PDFs, books, Google Docs, news articles, and websites, making reading more accessible and efficient. Our suite of products spans iOS, Android, Mac, and Chrome. Speechify has earned recognition from Google as Chrome Extension of the Year and received Apple’s 2025 Design Award for Inclusivity. The team at Speechify is fully distributed, with nearly 200 professionals worldwide. Members include frontend and backend engineers, AI research scientists, and leaders from companies such as Amazon, Microsoft, and Google, plus alumni from Stanford and startups like Stripe and Vercel. There is no central office; everyone works remotely. Role Overview The Data team within Speechify’s AI division is seeking a Software Engineer focused on Data Infrastructure & Acquisition. This position centers on managing and improving the systems that collect and prepare data for model training. The team’s mission is to assemble large-scale, high-quality datasets efficiently and cost-effectively, combining infrastructure, engineering, and research expertise. What You Will Do Find and secure new sources of audio data, then integrate them into the data ingestion pipeline. Maintain and improve the cloud infrastructure for the ingestion pipeline, which runs on Google Cloud Platform and uses Terraform for management. Partner with Scientists to optimize cost, throughput, and data quality, enabling richer datasets at scale for next-generation models. Work with the AI team and company leadership to shape the dataset roadmap for both consumer and enterprise product development. Location This role is based in Nairobi, Kenya, as part of Speechify’s distributed team.

Profile Overview:We are partnering with a leading multinational technology firm renowned for its innovative internet-related services and products to recruit a skilled Network Engineer.Primary Responsibilities:Analyze partner network architecture and implement streamlined integrations.Execute configuration adjustments to network routers, switches, and wireless devices both pre- and post-deployment.Diagnose network challenges and propose effective solutions.Contribute to the automation of network device configuration and monitoring.Assist in designing and maintaining local labs to replicate customer issues.