Machine Learning Engineer/AI Engineer
Machine Learning Engineer Responsibilities:
- Consulting with managers to determine and refine machine learning objectives.
- Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
- Transforming data science prototypes and applying appropriate ML algorithms and tools.
- Ensuring that algorithms generate accurate user recommendations.
- Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Developing ML algorithms to analyze huge volumes of historical data to make predictions.
- Running tests, performing statistical analysis, and interpreting test results.
- Documenting machine learning processes.
- Keeping abreast of developments in machine learning.
Machine Learning Engineer Requirements:
- Bachelor’s degree in computer science, data science, mathematics, or a related field.
- Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
- At least two years’ experience as a machine learning engineer.
- Advanced proficiency with Python, Java, and R code writing.
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Superb analytical and problem-solving abilities.
- Great communication and collaboration skills.
- Excellent time management and organizational abilities.
Top Three Skills Must Haves:
- Proficient in Python Programming
- SQL/No SQL, REST API framework
- Cloud Platform experience such as Azure or AWS.