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Description:
Design, develop, and launch strategic machine learning solutions to drive business-wide innovation using AI and analytical techniques at scale.
Take full ownership of the end-to-end software development life cycle, including design, testing, deployment, and operations.
Craft high-performance, production-ready machine learning code for a real-time ML platform.
Work closely with other engineers and scientists to accelerate model development, validation, and experimentation cycles.
Uphold technical rigor in engineering and operational excellence, building highly resilient and scalable systems.
Requirements:
Degree in mathematics/computer science or related discipline.
3+ years of experience in the complete software development lifecycle.
3+ years of programming experience, preferably in Python or Java.
Experience developing large-scale distributed systems on cloud platforms.
MS or PhD in Computer Science or equivalent experience in ML.
Experience with distributed data and ML technologies.
Experience with real-world large-scale datasets.
Prior experience delivering end-to-end ML solutions.
Benefits:
Autonomous and empowered work culture encouraging ownership and growth.
Flat hierarchy with fast decision-making and a startup-oriented culture.
Strong, fun, and positive environment with regular celebrations of success.
Inclusive, diverse, and authentic work environment.