Machine Learning Engineer - Entry Level

Responsibilities

Design, develop, and deploy AI models, algorithms, and applications that cater to specific business or project needs.

Create and optimize machine learning algorithms, deep learning models, natural language processing (NLP) models, computer vision systems, or other AI technologies.

Collaborate with software engineers and IT teams to integrate AI models into existing systems or deploy standalone based or cloud based AI applications.

Stay updated with the latest advancements in AI technologies and methodologies, and implement improvements to enhance AI system efficiency, accuracy, and capabilities.

Basic proficiency with AI and ML technology and willingness to learn new tools or software.

A dedication to putting in the effort required to excel in the position is essential.

Being open to learning new skills and adjusting to changing circumstances is crucial in a dynamic work environment.

Being thorough and meticulous in completing tasks accurately is essential for quality work.

The ability to maintain enthusiasm and motivation throughout the workday is essential.

A positive and eager approach to tasks and challenges is vital for success in this role.

Being able to adapt to changing priorities and requirements is necessary in fast-paced environments

Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

1+ year of professional experience with Machine Learning or AI.

Proficiency in programming languages such as Python, R, Java, C# or C++.

Familiarity with Unix-based systems and API development.

Familiarity with Cloud platforms (AWS, Azure or GCP) and containerization technologies such as Docker and Kubernetes.