Machine Learning Engineer - Remote

Overview

As a Machine Learning Engineer at Agiloft, you will be part of a team dedicated to building and maintaining machine learning features in production, contributing to the development of infrastructure and tooling necessary for model development.

In Short

• Join a growing Data Science Team focused on machine learning and generative AI.
• Build and integrate production features utilizing machine learning technologies.
• Participate in the development and optimization of machine learning infrastructure.
• Support the development and maintenance of AI platforms for clients.
• Architect robust data pipelines for scalability and performance.
• Engage in project initiatives and contribute to planning processes.
• Educate internal stakeholders about machine learning projects.
• 3-5 years of experience in Machine Learning Engineering required.
• Fluency in Python and Data Science stack is essential.
• Experience with cloud-based infrastructure and containerization technology preferred.

Requirements

• 3-5 years of experience in Machine Learning Engineering.
• Fluency in Python and Data Science libraries (numpy, scipy, scikit-learn, pandas).
• Experience with relational database languages.
• Ability to communicate effectively with developers and product managers.
• Experience with deep learning and generative AI models.
• Expertise in designing and implementing data pipelines.
• Experience with cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).
• Knowledge of machine learning model optimization.
• Familiarity with CI/CD tools and software development principles.

Benefits

• Support for healthy work/life balance.
• Floating holidays and wellness days.
• Inclusive working environment with Employee Resource Groups.
• Opportunities for professional growth and development.
• Collaborative team culture focused on innovation.