Andela is seeking to solve the problem of optimizing its platform's performance, improving its Generative AI offerings, and driving measurable impact across diverse business use cases through the hiring of a Staff Machine Learning Engineer.
Requirements
- Proven experience implementing machine learning algorithms and solutions at scale in production environments.
- Demonstrated experimental mindset, adept at hypothesis testing, experimentation design, and rigorous validation techniques.
- Expert proficiency in Python and experience with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and related ML technologies.
- Extensive experience building and deploying scalable ML pipelines and working within cloud infrastructure environments such as AWS, GCP, or Azure.
- Strong understanding of data structures, algorithm design, and performance optimization techniques.
- Exceptional problem-solving abilities, coupled with excellent collaboration and communication skills.
- Track record of technical leadership, mentorship, and successful cross-functional collaboration in agile, dynamic environments.
Responsibilities
- Design, build, and maintain robust and scalable machine learning models and pipelines tailored to enhance our marketplace platform and GenAI managed solutions.
- Lead experimentation processes, rigorously validating models through A/B testing, statistical analyses, and iterative improvements.
- Collaborate closely 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 a strong emphasis on scalability and maintainability.
- Mentor junior engineers and contribute actively to team growth, knowledge sharing, and fostering an experimental, innovation-driven engineering culture.
- Stay current with advancements in machine learning, AI methodologies, and marketplace technologies to propose innovative solutions proactively.
Other
- Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related technical field.
- Low ego, low drama, servant leader: You share credit, take blame. You like being wrong because it means someone else had an even better idea.
- One team mentality: You break silos across teams. You put the company and mission first above yourself and team alone.
- Great listener, hungry for feedback: You're always seeking to improve - our product, our business, yourself. You solicit diverse opinions and deeply listen.
- Owner, not renter: You see a problem, you fix it or find someone who will. The buck stops with you.
