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Machine Learning Engineer

Descriptions & Duties

  • Machine Learning Engineer's duties include data preparation, model development, training, evaluation, deployment, monitoring, maintenance, collaboration, and staying updated with research. They create and optimise machine learning models for real-world applications, ensuring accuracy and efficiency in solving complex problems.

Generic Competencies

Physical Abilities

Physical abilities

  • Physical strength
  • Eye hand coordination / precision / dexterity

 

Importance:1 (Max:5) 

Skill is rarely required

 

Technology Skills

Technology skills

  • Computer literacy
  • Application of technology

 

Importance:5 (Max:5) 

Skill is required all the time

 

Cognitive Abilities

Cognitive abilities

  • Creativity
  • Visualisation
  • Logical thinking

 

Importance:5 (Max:5) 

Skill is required all the time

 

Comprehension And Expression

Comprehension and expression skills

  • Reading comprehension
  • Oral / written expression

 

Importance:5 (Max:5) 

Skill is required all the time

 

Social Skills

Social skills

  • Communication
  • Negotiation
  • Persuasion

 

Importance:3 (Max:5) 

Skill is basically required

 

Organisation And Execution Skills

Organisation and execution skills

  • Planning
  • Organising
  • Judgement
  • Decision making

 

Importance:5 (Max:5) 

Skill is required all the time

 

Problem Solving Skills

Problem solving skills

  • Ability to solve simple and complex problems effectively and efficiently

 

Importance:5 (Max:5) 

Skill is required all the time

 

Management Skills

Management skills

  • Leadership
  • Management of finance / time / people / other resources

 

Importance:5 (Max:5) 

Skill is required all the time

 

Trade Specific Competencies

Expertise in Programming Languages

Machine Learning Engineers require expertise in programming languages such as Python, proficiency in machine learning frameworks and libraries, strong statistical analysis skills, knowledge of data preprocessing and feature engineering techniques, and familiarity with cloud platforms and deployment tools.

General Requirements

Academic qualification

  • A bachelor's or master's degree in computer science, data science, or a related field

Professional qualification

  • Professional certifications such as TensorFlow Developer Certificate, Microsoft Certified: Azure AI Engineer Associate, AWS Certified Machine Learning - Specialty, Google Cloud Certified - Professional Data Engineer, and NVIDIA Deep Learning Institute Certifications;
    Strong programming skills in languages like Python, familiarity with machine learning frameworks

Experience

  • 3 - 5 years of experience working on machine learning projects

Career Path & Salary

Private Sector

Monthly Salary $25,000 - $30,000

Monthly Salary $30,000 - $50,000

Monthly Salary $50,000 - $70,000

Related Education & Training

Work Environment

  • Machine learning engineers typically work in a collaborative environment that includes cross-functional teams such as data scientists, software engineers, and domain experts. They may work in offices or remotely, depending on the organization.

Tools

Epython

Jupyter notebooks

Version control systems

Cloud platforms

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