AI Product Manager

Industry: Technology
Company size: 251-10K
Not disclosed

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Job description

A rapidly-growing company that aims to seamlessly meet the growing technology needs of the world while easing the ever-increasing IT complexity, is looking for an AI Product Manager. The selected candidate will be working in an agile, cross-functional team to design and build scalable, performant, and secure web applications. The multinational company provides critical infrastructure for businesses and institutions to develop their digital visions. This position requires 8+ hours of overlap with the PST time zone. 


Job Responsibilities:

  • Help to improve the performance of existing AI solutions and optimize current ML libraries along with frameworks
  • Develop an effective roadmap to manage the overall project lifecycle as per the requirement
  • Assist in performing statistical analysis to resolve complicated data-set problems
  • Help to train and test machine learning programs
  • Design and develop easy to scale deep learning systems combining AI and ML principles
  • Communicate technical details well by influencing the technical aspects of the projects
  • Keep integrating and shipping codes into the cloud environment
  • Work closely with product managers to develop wireframe mockups

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience in AI/ML/Deep Learning/Natural Language Processing  and product management
  • Expertise in programming languages like Python, Java, R, MATLAB, etc.
  • Well-versed with concepts like un/supervised learning, database modeling, etc.
  • Understanding of complex code bases, large systems, and versioning tools like Git
  • Perceptive of ML libraries, predictive modeling, pattern recognition, data mining, etc.
  • Should be able to work with common data science toolkits like NumPy, Pandas, Matplotlib, NLTK, etc.
  • Ability to work with machine learning frameworks like Keras or PyTorch
  • Must possess expertise in applied statistics (regression, distributions, statistical testing, etc.)
  • Deep understanding of Artificial Neural Networks and Deep Learning Frameworks
  • Deep understanding of algorithms, data structures, and computer science fundamentals

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Frequently Asked Questions

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

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It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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