Senior Machine Learning Engineer

Responsibilities:

• Modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques.
• Participating in the areas of architecture, design, implementation, and testing.
• Proposing innovative ways to look at problems by using data mining approaches on the set of information available.
• Designing experiments, testing hypotheses, and building models.
• Conducting advanced data analysis and designing a highly complex algorithm.
• Applying advanced statistical and predictive modelling techniques to build, maintain, and improve multiple real-time decision systems.

Requirements:

• Minimum academic qualification of HND in computer engineering or related field.
• Minimum of 4 years of experience in Python and MySQL (or any relational database) with 2 years of experience as a Data Scientist.
• Experience with databases.
  
• Experience in machine learning frameworks and libraries.
• Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, and Support Vector Machines (SVM).
• Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive).
• Computer Science or Mathematics or Physics degree.
• Excellent communication and analytical skills.
• Willingness to work hard (50 hrs per week).
• Very good English.
• Experience with Apache Spark is a plus.
• Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization) is a plus.

Remuneration:

• Very competitive salary based on prior experience and qualifications.
• Potential for stock options after the first year.
• Salary raises and advancement opportunities are based on periodic evaluations.
• Visa sponsorship (after 18 months with the company, based on performance, in case you will be working from outside the US).