Senior Machine Learning Engineer - Remote

Overview

A Senior Machine Learning Engineer is needed to design, implement, and deliver AI and ML solutions on cloud platforms for enterprise clients in a fully remote environment.

In Short

• Design, develop, and implement machine learning models and pipelines.
• Deploy, manage, and optimize ML workflows using AWS services.
• Prepare, clean, and process large datasets with big data frameworks.
• Participate in agile ceremonies and cross-functional team discussions.
• Define features and tune hyperparameters for model optimization.
• Create visualizations and insights to communicate model performance.
• Work closely with teams to align technical solutions with client goals.
• Advance expertise in cutting-edge ML technologies.
• Innovate and contribute to a collaborative remote environment.
• Impact client outcomes with scalable ML solutions.

Requirements

• Deep technical expertise in machine learning and MLOps.
• Hands-on experience with AWS services.
• Proficiency in Python and big data processing tools.
• Knowledge of agile methodologies.
• Experience with model optimization techniques.
• Ability to create visualizations using tools like SageMaker.
• Strong collaboration and communication skills.
• Continuous learning mindset with technical curiosity.
• Experience in delivering AI solutions for enterprise clients.
• Ability to translate business objectives into technical solutions.

Benefits

• Fully remote work environment.
• Collaborative team culture.
• Opportunities for continuous learning.
• Impactful work on client outcomes.
• Exposure to cutting-edge ML technologies.