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Senior/Lead Machine Learning Operations Engineer
@Upwork
[Hiring] Senior/Lead Machine Learning Operations Engineer @Upwork
Apr 15, 2025 - Upwork is hiring a remote Senior/Lead Machine Learning Operations Engineer. 💸 Salary: unspecified. 📍Location: USA.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
Join our Algorithms and Research team as a Senior/Lead Machine Learning Operations (MLOps) Engineer. We are seeking an experienced engineer passionate about productizing advanced technologies, including Generative AI and Large Language Models (LLMs), to revolutionize Upwork's platform capabilities.
- Lead the development, integration, and maintenance of knowledge graphs, including data modeling, ETL pipelines, and graph database management.
- Deploy, monitor, and optimize machine learning models — especially those leveraging Generative AI and LLMs — at scale in production environments.
- Design and implement retrieval-augmented generation systems to enhance search and recommendation functionalities.
- Build and maintain robust machine learning pipelines, ensuring seamless data flow from ingestion to model serving.
- Develop and integrate APIs for serving ML models and knowledge graph data to platform applications.
- Implement monitoring, alerting, and active learning systems to ensure model performance and reliability.
- Collaborate closely with a globally distributed team of ML engineers, data engineers, and product stakeholders to deliver impactful solutions.
- Continuously drive improvements in model accuracy, system scalability, and operational efficiency.
Qualifications
- 5+ years of experience deploying and maintaining machine learning models in production environments.
- Proven expertise in knowledge graph development, graph databases (e.g., Neo4j, TigerGraph), and data integration.
- Strong programming skills in Python (preferred), with proficiency in Java or Golang a plus.
- Deep understanding of scalable, cloud-based architectures (AWS preferred; GCP and Azure experience valued).
- Hands-on experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Solid grasp of Generative AI, Large Language Models, and modern ML frameworks.
- Experience building and maintaining ETL pipelines and integrating with relational databases.
- Familiarity with RESTful API development and best practices.
- Excellent problem-solving skills, proactive mindset, and ability to thrive in a remote, collaborative environment.
Requirements
- Experience with data engineering, API integration, and monitoring/optimization of ML services.
- Prior work on multi-year, large-scale knowledge graph or graph ML projects.
- Exposure to active learning systems and ML model monitoring frameworks.
Company Description
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| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Software Development
Software Development
|
Salary
💸
unspecified
|
Remote
Location
USA
|
|
Job Type
contract
|
Posted
Apr 15, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
