Machine Learning Engineer at Alfred & Victoria Associates

Reports To: Chief Technology Officer
Department: Technology
Job Level: Intermediate

Job Description

• We are a technology driven data-analytics Company powering intelligent marketing across Africa.
• We need skilled, talented and smart Machine Learning Engineer to join our growing technology team.
• We are looking to hire a developer who is interested in joining highly motivated problem solvers powering the future of intelligent marketing.

Context:

• Data Analytics.
• Problem solving skills.
• Basic programming Knowledge and skills.
• Excellent people-relations skills.
• Fast-paced work environment.

Job Duties & Responsibilities
The Machine Learning Engineer’s function covers:

• Work closely with Data Engineers and Data Scientists to create analytical variables, metrics and models.
• Work with Data Scientists to solve difficult engineering and machine learning problems and produce high-quality code.
• Identify and use the right analytical libraries, programming languages and frameworks for each task, while developing your abilities and understanding of data science methodologies and approaches.
• Contribute to coding and engineering practices across all projects.
• Refactor code into reusable libraries, APIs and tools.

Key Points:

• Creation of Analytical models and variables
• Production of high quality codes

Educational Qualifications, Certifications and Experience

• First Degree in Computer Science, Systems Engineering, Mathematics, Statistics or other related field
• Minimum of One- two (1-2) years working experience on Machine Learning in a fast paced and complex business settings

Competencies:

• Experience as a software engineer with a deep interest in Analytics and Data Science
• Ability to engineer beautiful code and work on varied data science projects across multiple industries
• Proven knowledge of object-oriented programming e.g. Scala, Java, C++ etc.
• Knowledge of at least one scripting language e.g. Python, Perl, R etc.
• Deep knowledge of testing frameworks and libraries
• Good knowledge of database management languages e.g. SQL, PostgreSQL or Object-based databases
• Knowledge of statistics, machine learning and data analytics techniques
• Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is desirable but not essential

Salary
Very attractive.