Overview

Abyss Solutions is hiring an experienced machine learning to join its
growing team! Our company is an accelerating tech firm that delivers data
driven engineering assessments for critical infrastructure. The team pushes
state-of-the-art in machine learning using innovative measures for
harvesting key information collected from remote systems operating in
challenging field conditions.

*The advertised role*
The ability to efficiently and accurately derive insights from large
volumes of field data is a critical component of the analytics at Abyss
Solutions. The machine learning engineer will drive development of
state-of-the-art capabilities in Computer Vision and Machine Learning in
order accurately extract the most from field data. Field experience is
highly valued as ML development is tightly coupled with the data capture
and the client deliverables. The right candidate will see themselves
actively collaborating with a multi-disciplinary team, mentor and supervise
their group, and grow and scale with the company over the coming years.

Company:

Abyss Solutions

Qualifications:

*Qualification*
Post doctorate, PhD or M.S. with strong focus towards Machine Learning,
Computer Science, Robotics or related fields. Field experience in computer
vision and/or field robotics is critical.

*Essential Skill*

– In-depth practical experience of state-of-the-art ML and computer
vision concepts
– Proven track record with a suite of deep learning algorithms and
frameworks
– Sound knowledge of unsupervised, supervised and active learning
learning frameworks
– Proficiency in python
– Fine-tuned problem solving and product development experience

*Preferred Skill Requirements*

– Big data storage and security knowledge
– Experience with Linux systems
– Experience with real-time ML/CV systems
– Knowledge and experience with cloud technologies such as AWS and
Google Cloud
– Experience with 3D modelling using stereo vision, structure from
motion (SfM) and structured lighting
– Experience with multi-modal fusion

Educational level:

Master Degree

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