About The Job

• Collaborate with the product team, data scientists and other stakeholders across the company to understand and define business requirements
• Effectively communicate complex technical concepts to both technical and non-technical team members
• Lead end-to-end lifecycle of ML systems - from planning and design to implementation and production deployment, collaborating with other ML engineers.
• Write clean, efficient, maintainable, reusable code
• Continuously improve and own our existing code bases, systems and processes.
• Drive team productivity and delivery excellence while fostering sustainable development practices
• Mentor and empower other engineers, and promote a culture of continuous learning and improvement
• Drive architectural decisions and technical direction while fostering a culture of engineering excellence

About You

• Bachelor's degree in Computer Science, Information Technology or equivalent
• 4-7+ years of experience building large-scale distributed systems
• Proficient in Python (or Golang), with expertise in building ML pipelines and productionizing ML systems
• Expertise in Flask, APIs, SQL, AWS, Kafka, Docker and CI/CD practices, with the ability to quickly adapt to new technologies
• Proven leadership experience in driving medium to large-scale software projects, with both tactical and strategic planning
• Excellent communication skills with proven ability to collaborate effectively in dynamic team environments
• Startup experience is a plus

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