Data Science Engineer at Seamfix

Founded in 2007 as primarily a software house, Seamfix today provides custom and bespoke technology solutions and e-business integration services to large, medium and small organizations across various sectors such as telecommunications, education, oil & gas, financial services and the public sector.

We help our clients and end consumers by continuous innovation of value added services and improvements in their technology and processes. We also back this up by a high degree of quality in service delivery.

Our expertise spans various industry verticals and our experience gives our clients a stable technology and process foundation which allows them to focus on their primary business priorities.

At Seamfix, we believe the customers’ satisfaction is paramount, and that is why our focus is on service delivery and ensuring that the experience we provide enriches the lives of our customers. This is why a good portion of our business comes from existing clients.Job Description

We’re looking for an experienced data science Engineer who will conduct large-scale quantitative research to model algorithms on data in order to build intelligent products.
We also develop organized, easy to read, and modifiable software source code to assist in production-ready build of these methods with emphasis on efficient image processing, feature extraction and statistical modeling.

Predictive Statistics:

Build machine learning models on existing data
Model predictive algorithms for product enhancement.

Cognitive Intelligence:

Model end to end AI feature
Employ core mathematical computation methods to assist in intelligent product builds.
Develop a pipeline for end to end AI product
Guide the deployment of an AI model with established feedback mechanism

About You

A Degree / Master's degree in Electrical Engineering, Computer Science, Applied Mathematics or any relevant field
Adequate experience with applied machine learning
Experience programming in Python and/or MATLAB. Knowledge of low-level languages such as C/C++ is a plus.
Contributed ideas and/or concepts that support the generation of intellectual property or published papers.
Familiar with cloud technologies such as AWS and/or Azure.
Hands-on experience with GPUs a plus
Analytical skills to forecast and identify trends and challenge.

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