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Artificial Intelligence (AI) Developer at Zinier

Fresh off our Series B round (https://venturebeat.com/2019/03/05/zinier-raises-22-million-from-accel-qualcomm-others-to-automate-field-service-management/) led by Accel, along with Founders Fund, Qualcomm Ventures, Nokia-backed NGP Capital, and Newfund, we're growing our team across all functions and regions!



At Zinier, we're building a modern platform to help companies with large field service teams manage their complex businesses, logistics, and processes. This includes large telecom companies with hundreds, even thousands of technicians who install and repair equipment, to energy companies with expansive industrial infrastructure really, any company that needs to install, maintain, and repair equipment out in the field.



Job Responsibilities:

Responsible for design and development of AI/ML models and application analysis industrial developments in AI/ML

Understand the latest industrial developments in AI/ML

Ability to translate requirements into design specifications and experience in developing design documents

Build data ingest and data transformation infrastructure

Identify transfer learning opportunities and new training datasets.

Build AI models from scratch and help product managers and stakeholders understand results.

Deploy AI models into production and maintain the quality and accuracy of the Model solutions during the deployments



Required Experience:

Must have a Bachelor's degree in Computer Science (or equivalent experience) / Bachelor's in Engineering

Should have 2-5 years of overall experience

Hands on experience in supervised machine techniques and algorithms, such as GLM, Linear regression, k-NN, Naive Bayes, SVM, Random Forests

Hands on experience in unsupervised machine learning techniques and algorithms, such as various clustering algorithms, dimensionality reduction techniques.

Knowledge representation & reasoning (KRR), natural language processing (NLP), speech recognition, unsupervised machine learning, and/or reinforcement learning, Text mining and Text Processing, Decision tree and lexical analysis.

A high level of attention to detail, excellent follow through, and reliability

Working knowledge with cloud platforms such as AWS, Azure

Optional proficiency in using Databases such as MYSQL

Good scripting and programming skills in Python.

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