Strong Python development experience (primary language)
Experience building, deploying, or supporting machine learning pipelines in production
Solid understanding of the ML lifecycle, including training, inference, retraining, and monitoring
Familiarity with MLOps principles and production ML systems
Requirements:
Build, deploy, and support machine learning pipelines in production environments
Monitor and retrain models across the ML lifecycle; implement monitoring and alerting
Collaborate across teams and work hands-on in evolving systems with ambiguous or rapidly changing requirements
Apply MLOps principles to production ML systems and work with large datasets and model outputs
Job description
Required Qualifications
Strong Python development experience (primary language)
Experience building, deploying, or supporting machine learning pipelines in production
Solid understanding of the ML lifecycle, including training, inference, retraining, and monitoring
Familiarity with MLOps principles and production ML systems
Experience working with large datasets and model outputs
Ability to work hands‐on in evolving systems with ambiguous or rapidly changing requirements
Strong problem‐solving skills and ability to collaborate across teams
Preferred Qualifications
Experience with vector databases, similarity search, or semantic retrieval
Exposure to embeddings, semantic search, or recommendation systems
Experience supporting GPU‐based ML workloads
Cloud ML experience (AWS, GCP, or Azure)
Prior work on e‐commerce search, discovery, or relevance systems
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
