Apziva · 3 days ago

Data Science Mentor

San Francisco, CA

Part-time

Onsite

Senior Level

4+ years exp

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Software

Growth Opportunities

Insider Connection @Apziva

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Guide and mentor professionals from diverse backgrounds in solving real-life problems using Machine Learning.

Provide constructive feedback and support to participants in the AI Residency Program.

Utilize expertise in a wide range of Machine Learning areas such as Probability And Statistics, Natural Language Processing, Computer Vision, and more.

Lead participants through the entire lifecycle of building ML systems, from data collection to deployment and scaling.

Demonstrate strong understanding of software engineering best practices in ML development.

Qualification

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Machine learningProbability statisticsNatural language processingComputer visionSpeech signal processingTime seriesRecommendation systemsDeep learningSupervised learningUnsupervised learningReinforcement learningData collectionModel buildingDeploymentTestingMonitoringSoftware engineeringVersion controlDebuggingProblem-solvingCommunicationConstructive feedback

Required

Have at least 4 years of experience solving real-life problems using ML.

Have excellent communication skills, especially when providing constructive feedback.

Have deep expertise and real-world experience in a wide range of Machine Learning problems.

Have extensive experience in Probability And Statistics, Natural Language Processing, Computer Vision, Speech and Signal Processing, Time Series, Recommendation Systems, Deep Learning, Supervised, Unsupervised Learning, and Reinforcement Learning.

Are comfortable in the entire lifecycle of building ML systems, from data collection and building models to deployment, testing, monitoring, and scaling.

Have a strong understanding of software engineering best practices, including version control, testing, monitoring, and debugging.