What are the responsibilities and job description for the MLOps Engineer // REMOTE / Work-Life Balance position at Motion Recruitment Partners, LLC?
An industry-leading technology and analytics organization is hiring an AI/ML Operations Engineer to support its rapidly growing artificial intelligence initiatives. This full-time opportunity offers the chance to work with modern cloud technologies, machine learning platforms, containerized environments, and production AI systems. The ideal candidate will have experience deploying machine learning solutions, building cloud infrastructure, and supporting MLOps best practices across enterprise environments.
This is an excellent opportunity for someone who wants to be at the center of real-world AI deployment without being confined to research-focused responsibilities. The organization is investing heavily in AI innovation and is seeking an engineer who can help bridge development and operations. Team members are encouraged to grow their expertise, influence best practices, and help scale cutting-edge AI capabilities used across diverse client engagements.
Required Skills & Experience
Tech Breakdown
Daily Responsibilities
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-CD1
This is an excellent opportunity for someone who wants to be at the center of real-world AI deployment without being confined to research-focused responsibilities. The organization is investing heavily in AI innovation and is seeking an engineer who can help bridge development and operations. Team members are encouraged to grow their expertise, influence best practices, and help scale cutting-edge AI capabilities used across diverse client engagements.
Required Skills & Experience
- 3 years of experience in MLOps, Platform Engineering, or Infrastructure Engineering
- Experience deploying machine learning models into production environments
- Strong Python development and scripting skills
- Hands-on experience with AWS cloud services
- Experience with Databricks or comparable data/AI platforms
- Experience building and maintaining CI/CD pipelines
- Docker and Kubernetes experience
- Monitoring, observability, and incident response experience
- Bachelor's Degree in Computer Science, Engineering, or related field (or equivalent experience)
- Exposure to large language models (LLMs) and generative AI systems
- Experience with AI cost optimization and resource management
- SQL and data analytics experience
- Infrastructure-as-Code experience
- Model versioning and reproducibility knowledge
- Experience supporting enterprise-scale AI workloads
Tech Breakdown
- 40% Cloud Infrastructure (AWS, Databricks)
- 25% Kubernetes & Container Management
- 20% CI/CD & Deployment Automation
- 15% Monitoring, Observability & Reliability
Daily Responsibilities
- 80% Hands On Engineering
- 5% Strategic Planning
- 15% Team Collaboration
The Offer
- Competitive hourly rate
- Medical, Dental, and Vision Insurance
- Career Development Opportunities
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-CD1
Salary : $60 - $70