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MACHINE LEARNING (NLP) ENGINEER

Singularity Systems Inc. is an innovative AI company committed to transforming complex technologies into simple, accessible experiences for all. Our patented Real-Time AI framework, SinguAI, leverages Natural Language Processing and Computer Vision to make AI scalable and affordable, solving many automation challenges faced by industries today. SinguAI enables customers to quickly build and deploy highly accurate models with no coding involved. Our SinguAI platform adds value by making data machine-consumable through Intelligent Document Processing, Intelligent Image Processing, and Predictive Analytics. Join us today as we create a better tomorrow.

 

Responsibilities:

•      Design and Implement machine learning solutions for customer’s projects

•      Build up machine learning prototype for NLP (Nature Language Processing)

•      Train/Test/Deploy/Maintain NLP AI models

•      Deploy machine learning solutions to customer’s on-premise environments

•      Develop NLP based software system

•      Work with the research team to improve the company’s AI products

 

Requirements:

Must-have

•      Master or higher Degree in Computer Science or equivalent

•      Solid foundation in data structures and complex algorithms

•      Experience with machine learning and natural language processing (NLP)

•      Hands-on experience in coding, and familiar with Python, JavaScript, Node.JS, etc.

•      Experienced in transfer learning/online learning/ GAN(Generative Adversarial Network)

•      Experience in at least one deep learning framework such as TensorFlow, PyTorch

•      Excellent verbal and written communication skills with English

•      Ability to learn different technologies quickly

 

Nice to have:

•      Experience in Text mining, deep learning

•      Experience in implementing transformers.

•      Experience in big data platforms such as Hadoop, Spark, etc.

 

•      Competitive salary/benefits/stock options

•      A dynamic working environment on a fast-growth path together with the company

•      Diversified and tailored career paths