Machine Learning Engineer (AI) - Remote

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Engineer (AI) in the United States.

As a Machine Learning Engineer, you will design, build, and deploy cutting-edge AI solutions that solve real-world business challenges. You’ll work across client projects to develop production-ready ML systems, rapid prototypes, and scalable AI pipelines while integrating them into existing software infrastructure. This role requires a mix of software engineering, data science, and strong communication skills to translate complex AI concepts into actionable business insights. You’ll collaborate with cross-functional teams, experiment with emerging AI technologies, and play a key role in shaping AI-driven solutions that have tangible impact on operations and decision-making. This position offers the flexibility of remote work while contributing to high-profile, innovative projects.

In Short

• Design, develop, and integrate AI-driven systems and data pipelines that meet client needs.
• Build production-ready machine learning models using frameworks like TensorFlow, PyTorch, and scikit-learn.
• Architect scalable AI systems with focus on reliability, maintainability, and performance.
• Implement MLOps best practices, including model versioning, monitoring, and continuous deployment.
• Develop rapid prototypes and proof-of-concept applications to demonstrate AI capabilities.
• Collaborate with software engineering teams to embed AI solutions into production applications.
• Communicate technical AI concepts effectively to both technical and non-technical stakeholders.
• Fine-tune and train models, optimize performance, and select appropriate pre-trained AI/ML solutions.
• Experiment with emerging AI technologies and agentic tools to accelerate solution delivery.

Requirements

• Strong background in machine learning and AI.
• Proficiency in programming languages such as Python.
• Experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn.
• Knowledge of MLOps best practices.
• Excellent communication skills.
• Ability to work collaboratively in a team environment.
• Experience in developing production-ready ML systems.
• Familiarity with data engineering concepts.
• Problem-solving and analytical skills.

Benefits

• Flexible remote work options.
• Opportunity to work on high-profile projects.
• Collaborative work environment.
• Access to emerging AI technologies.
• Professional development opportunities.