Job Description

The Locus Data Science Team (DST) is responsible for providing data management, access, and analysis to interested stakeholders - both within and outside Locus. The DST will provide access to deeper analysis, modeling, and predictive analytics based on large and complex datasets. The Data Scientist - Machine Vision role is fundamental to extending Locus capabilities relating to machine learning and object classification based on data from multiple sources.

What the role involves:

• Developing multiple classification models for various data sources - finding features and objects of interest in a warehouse environment

• Streamlining and optimizing models onto limited resource platforms with strong performance obligations

• Influencing and shaping the direction of machine vision and deep learning applications within the team, and also in the larger company

• Coordinating development and research aims with internal and external partners to fully leverage available expertise

• Demonstrating excellent verbal and written communication skills

• Using an evolving range of data analysis tools and techniques, including open source, some of which must be learnt quickly, as and when required

• Working with other teams and groups to understand where data science can add value at an organizational level

• Helping to grow data science skills in other teams, understanding the variety of functional roles relating to data science and how they can be most effectively applied to solve business problems

• Adapting to the exciting challenges provided by a cutting edge and fast evolving solution at a global leader in robotics

Qualifications

Technical skills should include, but not be limited to:

• MSc or PhD level qualification in a machine vision, computer science, data science, or related discipline

• 5+ years experience using image-centric Deep Learning to solve real world problems

• Demonstrable experience with techniques involving Object Detection, Image Classification, Convolutional / Recurrent Neural Networks, and Hyperparameter Tuning

• Solid Python programmer, including (Pandas, Numpy, SKLearn) and PyTorch or Tensorflow 

• Bonus points for experience in: ROS (Robot Operating System) and Linux

• Familiarity with MLOps and related technologies for developing, maintaining, and deploying models

• Demonstrable experience with cloud e.g. AWS, Azure

• Comfortable using software version control for platforms -example Git-related services 

• Ability to adhere to technical standards and follow procedures rigorously

• Flexible and capable of adapting to new technologies as needed