Machine Learning Engineer

Job Responsibilities:

• Study and transform data science prototypes and apply appropriate machine learning algorithms and tools
• Optimize various algorithms to improve performance and accuracy
• Run machine learning tests and experiments, and document findings and results
• Train, retrain, and monitor machine learning systems and models as needed
• Construct optimized data pipelines to feed machine learning models
• Consult with managers to determine and refine machine learning objectives
• Extend existing machine learning libraries and frameworks
• Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products
• Execute analytical experiments to help solve problems across various domains in our product portfolio
• Identify relevant data sources and sets to mine for client business needs, and collect structured and unstructured datasets and variables
• Devise and utilize algorithms and models to mine data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
• Analyze data for trends and patterns, and interpret data with clear objectives in mind
• Implement analytical models in production by collaborating with software developers

Job Requirements - Mandatory:

· Proficiency with data mining, mathematics, and statistical analysis

· At least 1-year of post-university full-time working experience

· Proficiency with Python. Able to write not only script but also code to work with ML models.

· Understanding of network fundamentals and SaaS application deployment

· Ability and willingness to work in a fast-paced startup environment

· Ambition to lead a function in a company with minimum supervision

Job Type: Full-time

Application Question(s):

• Which words and sentences are highlighted in bold in the job description?

Experience:

• post-university full-time working: 1 year (Required)

Language:

• English FLUENTLY (Required)

Work Location: Remote