Responsibilities

• Enhance the performance of our existing AI software.
• Understand project requirements to design an effective roadmap and manage the overall project lifecycle.
• Optimize existing ML libraries and frameworks.
• Perform statistical analysis to solve complex data-set problems.
• Train and test machine learning programs.
• Design and develop highly scalable deep learning systems with the help of AI and Machine Learning principles and techniques.
• Influence the technical direction of the projects and collaborate with cross-functional teams to communicate technical details effectively.
• Continuously integrate and ship code into the cloud environment.
• Collaborate with product managers to produce wire-frame mock-ups.
• Ability to drive usability sessions to refine workflows, get buy-ins, and make progress towards full implementation.
• All team members will be part of sprint planning, sprint review, daily stand-up meetings.

Requirements

• Over two years of experience working in at least one of these domains: Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing (we make rare exceptions if you are highly skilled).
• Working experience with concepts such as supervised/unsupervised learning, database modeling, data warehousing, and more.
• Deep understanding of complex code bases, large systems, and version control systems such as Git.
• Strong understanding of machine learning libraries, predictive modeling, pattern recognition, data mining, recommendation systems.
• Experience with common data science toolkits.
• Experience with programming languages.
• Experience with machine learning frameworks.
• Proficiency in applied statistics: regression, distributions, statistical testing, etc.
• Deep understanding of Artificial Neural Networks and Deep Learning Frameworks.
• Excellent command over algorithms, data structures, and computer science fundamentals.