noogata-Machine Learning Data Engineer

About The Position

noogata is revolutionizing enterprise AI, enabling enterprise to easily and scalably infuse AI into key operational processes at a fraction of the cost and complexity of current generation solutions. noogata’s technology allows enterprises to deploy prefabricated solutions for common industry use-cases, customize, and scale them in production without requiring custom development or data-science capabilities. noogata is looking for world-class engineers, machine-learning engineers, and data scientists to join us and build our product and grow our vision. We’re looking for customer-focused, self-driven engineers and scientists that want to solve big, complex problems with a huge impact.

We are looking for a Machine Learning Engineer to join our team and help us create advanced ML driven products.

Responsibilities

• Be part of a data-science team where you will be part of end-to-end ML projects (from data extraction through model validation & A/B testing to model deploying)
• Understand and transform data science prototypes into production-ready applications.
• Research appropriate datasets and various data representation methods and extend existing ML capabilities, libraries and frameworks.
• Perform design architecture for ML pipelines and data driven systems.
• Implementing, training and retraining appropriate ML algorithms.

Be part of a startup company: Help setting priorities and making design decisions based on your experience and insights.

Requirements:

• BSc in Computer Science, Computer Engineering, or related field; Master’s degree is a plus.
• 4+ years of experience in the industry as a Machine Learning Engineer or similar role.
• Ability to write robust, clear and optimized code in Python, SQL, etc..
• Understanding of data structures, data algorithms and software architecture.
• Capable of working autonomously and within a team as necessary.
• Outstanding analytical and problem-solving skills.
• Ability to advise and collaborate with researchers on software engineering tools and practices.
• Excellent communication skills.