Machine Learning Engineer

Description

• Develop machine learning applications according to requirements.
• Research and implement appropriate ML algorithms and tools.
• Collaborate with stakeholders and technology team to efficiently develop AI solutions.
• Provide support to achieve successfully deployed models at conclusion of projects.
• Extend existing ML libraries and frameworks.
• Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data.
• Design machine learning systems
• Select appropriate datasets and data representation methods.
• Train and retrain systems when necessary.
• Run machine learning tests and experiments.
• Plan and manage data analysis workflows.

Requirements

• Predictive Analysis
• Web Scraping
• Proficiency to design, build, test, and support innovative solutions.
• Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python
• Strong enterprise project experience with Machine Learning and AI
• Ability to define and manage project deadlines and balance workloads across a wide variety of projects.
• Passion and aptitude for programming and technology
• Enthusiasm for analytical and problem-solving challenges
• Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.
• Experience creating Machine Learning Algorithms and/or Libraries.
• Experience within Data Engineering/Data Structuring
• Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
• Good experience with Large Language Model technologies
• Effective communication skills to keep all stakeholders regularly informed on progress.
• Data Visualization

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance