Design, build, and maintain robust and scalable machine learning models and pipelines tailored to enhance the company’s 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 and deliver 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 and knowledge sharing
Stay current with advancements in machine learning, AI methodologies, and marketplace technologies and propose innovative solutions proactively
Requirements
Bachelor’s degree or higher in Computer Science, Engineering, Data Science, or a related technical field
Must Have 10 years experience
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
Experience with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn
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
Excellent collaboration and communication skills
Track record of technical leadership, mentorship, and successful cross-functional collaboration in agile, dynamic environments
Benefits
Fully Remote work culture - we hire globally and all of our roles are fully remote!
Bring your own device stipend - buy your own laptop with funds from us
Flexible working hours
Equity (as a part of the compensation package)
Healthcare, 401k / pension
Generous Paid Time Off, Parental Leave, Compassionate Leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.