What are the responsibilities and job description for the MLOps Engineer / Unicorn Startup / Remote position at Motion Recruitment Partners, LLC?
A rapidly growing health technology company is seeking a Senior MLOps Engineer to help scale the next generation of machine learning-powered products. This is a full-time remote opportunity focused on AWS, Python, ML infrastructure, and large-scale deployment systems. The organization combines cutting-edge hardware, sensor technology, and artificial intelligence to deliver measurable outcomes for a global customer base.
This opportunity is ideal for engineers who enjoy building infrastructure that powers real-world machine learning systems. Rather than focusing exclusively on model development, this role centers on designing and operating the platforms, pipelines, and deployment frameworks that make machine learning reliable, scalable, and efficient in production. The organization values ownership, technical excellence, and collaboration, offering significant influence over long-term platform strategy and product innovation.
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 opportunity is ideal for engineers who enjoy building infrastructure that powers real-world machine learning systems. Rather than focusing exclusively on model development, this role centers on designing and operating the platforms, pipelines, and deployment frameworks that make machine learning reliable, scalable, and efficient in production. The organization values ownership, technical excellence, and collaboration, offering significant influence over long-term platform strategy and product innovation.
Required Skills & Experience
- 5 years of software engineering experience
- Strong Python development experience
- Production MLOps experience
- Expertise deploying machine learning workloads in AWS
- Experience designing CI/CD pipelines for model deployment
- Distributed systems knowledge
- Infrastructure automation experience
- Monitoring, telemetry, and observability expertise
- Experience supporting large-scale production environments
- IoT or connected-device experience
- Kafka, Kinesis, or Flink
- Health-tech or wearable device experience
- ML platform engineering
- Cost optimization within cloud environments
- Real-time inference systems
- Startup experience
- Staff-level engineering experience
Tech Breakdown
- 40% AWS Infrastructure
- 30% Machine Learning Platform Engineering
- 20% Distributed Systems & Data Pipelines
- 10% Monitoring & Performance Optimization
Daily Responsibilities
- 75% Hands On Engineering
- 10% Architectural Leadership
- 15% Team Collaboration
The Offer
- Competitive Salary
- Substantial Equity
- Medical, Dental, and Vision Insurance
- Flexible PTO
- Equity Participation
- Paid Parental Leave
- Life Insurance
- Remote Flexibility
- Employee Product Benefits
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-CD1
Salary : $230,000 - $250,000