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Associate Machine Learning Ops Engineer at Ensign Services, Inc.

Singapore, Singapore, Singapore -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 25

Salary

0.0

Posted On

24 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Natural Language Processing, Predictive Modeling, Deep Learning, Neural Networks, Generative Modeling, Random Forests, Data Analysis

Industry

Hospitals and Health Care

Description

Ensign is hiring ! Constructs, studies and trains algorithms that can learn from complex, high dimensionality data in order to uncover patterns from which practical and usable predictive models and applications can be developed | Uses a variety of techniques (e.g., random forests, deep learning, generative modeling, neural network memory) in order to improve the predictive capability of individual natural language processing and/or machine perception algorithms | Performs routine assignments in the entry level. Typically requires a college or university degree or the equivalent work experience and has conceptual knowledge of fundamental theories, principles and practices. Has no discretion to vary from established procedures by performing structured work assignments. Uses existing procedures to solve routine or standard problems. Receives instruction, guidance and direction from more senior level roles About Ensign InfoSecurity Ensign InfoSecurity is the largest pure-play cybersecurity service provider in Asia. The company is headquartered in Singapore. We specialise in the provision of these services; cybersecurity advisory and assurance, implementation and management of advanced cybersecurity controls, cybersecurity monitoring, threat hunting, and incident response. Underpinning these competencies is in-house research and development in cybersecurity. What Makes Ensign Special? We are a technology company with warmth and soul. We are ambitious, propelled by our vision to be the cyber defender of choice, and fueled by the dedication and camaraderie of individuals who are eager to make a difference, and leave their footprints in the industry. If you are a self-motivated curious go-getter, we want You! Join Us!

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Responsibilities

Constructs, studies, and trains algorithms to uncover patterns from complex data. Uses various techniques to improve predictive capabilities of algorithms.