Technical Lead (ML Engineering) @ 24/7 Customer

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:

• Bachelors 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.
• Familiarity with machine learning frameworks (like TensorFLow, Keras or PyTorch) and libraries (like scikit- learn)
• Good to have knowledge of Kubernetes
• 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.