Staff Machine Learning Engineer

OverviewJoin to apply for the Staff Machine Learning Engineer role at Andela.We are seeking a Staff Machine Learning Engineer to join our dynamic team specializing in a technology marketplace platform for engineering talent and delivering cutting-edge Generative AI (GenAI) managed solutions for enterprise clients. In this strategic role, you will be responsible for designing, developing, and deploying scalable machine learning algorithms and systems. Your proven experimental mindset and extensive practical experience will be key in optimizing our platform’s performance, improving our GenAI offerings, and driving measurable impact across diverse business use cases.Exceptional Leadership: As an Andelan, you don’t need to be a people manager to be a leader, and you’ll serve as a role model for the rest of the company.Key ResponsibilitiesDesign, build, and maintain robust and scalable machine learning models and pipelines tailored to enhance our marketplace platform and GenAI managed solutions.Lead experimentation processes, validating models through A/B testing, statistical analyses, and iterative improvements.Collaborate with data scientists, software engineers, product managers, and client teams to define requirements, build solutions, and deliver impactful, high-quality products.Continuously improve existing ML solutions, ensuring they are performant, efficient, and aligned with evolving business objectives.Ensure adherence to best practices in code quality, data integrity, and infrastructure reliability, with emphasis on scalability and maintainability.Mentor junior engineers and contribute to team growth, knowledge sharing, and fostering an experimental, innovation-driven culture.Stay current with advancements in machine learning, AI methodologies, and marketplace technologies to propose innovative solutions proactively.QualificationsBachelor’s degree or higher in Computer Science, Engineering, Data Science, or a related technical field.Proven experience implementing machine learning algorithms and solutions at scale in production environments.Demonstrated experimental mindset with hypothesis testing, experimentation design, and rigorous validation techniques.Expert proficiency in Python and frameworks such as TensorFlow, PyTorch, scikit-learn, and related ML technologies.Experience building and deploying scalable ML pipelines and working within cloud environments (AWS, GCP, Azure).Strong understanding of data structures, algorithm design, and performance optimization techniques.Excellent problem-solving abilities, collaboration, and communication skills; track record of technical leadership and cross-functional teamwork in agile settings.Seniorities and TypeSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: Engineering and Information TechnologyIndustries: IT Services and IT ConsultingNote: This description focuses on the role and its requirements. It does not include extraneous job postings or listings elsewhere. #J-18808-Ljbffr

Created: 2025-09-17