Contract: Senior/Lead ML Operations Engineer
- Upwork
- 5 - 10 years
- Remote
- 4 months ago
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Job Description
Key Responsibilities
- 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.
Must Haves (Required Skills):
- 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.
As a plus:
- 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.
Job Classification
Industry: InternetFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: ContractContact Details:
Company: Upwork Location(s): Remote+ View Contact
Keyskills: orchestration neo4j Data modeling GCP Machine learning Lead Programming Data structures Operations Python
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