Machine Learning Engineers

Machine Learning Engineers work within both software engineering and data science, scaling data modelling into a production environment. They enable software applications to become highly accurate in predicting outcomes without any need for explicit programming. At ShareSource we provide access to exceptional offshore Machine Learning Engineers and will find the ideal candidate to suit your company’s projects, objectives and culture. Here is just a sample of the roles, skills, qualifications and experience our candidates exhibit:

Types of Roles/Areas of Specialisation

• Fraud and risk management
• Marketing
• Investment and real estate

Skills & Programs

• Parallel, distributed, GPU-accelerated machine learning (ML) pipelines
• MatLab, Java, Python (including pandas, numpy, sklearn, scipy)
• Linux
• Modern IDEs and source control (git)
• SQL, MySQL and DB optimization
• Classical machine learning methods: SVMs, feature engineering, clustering algorithms, model validation
• Deep Learning: Tensorflow, Pytorch, Theano, Caffe, CNTK
• Cloud management tooling: Terraform
• Batch jobs/job scheduling: Airflow, Luigi, Jenkins
• Unix environment
• AWS (ECS)
• GIS: postgis
• Postgres or other SQL-based databases
• Amazon Web Services
• Time Series Analysis, Bayesian Statistics, Time Series Forecast

Qualifications

• BSc or higher in a STEM subject

Experience

• Junior - 1 year 
• Intermediate - 2-3 years 
• Senior - 5+ years