Note: The job is a remote job and is open to candidates in USA. Agility Partners’ client is seeking Machine Learning Engineers for a Search, Recommendations, and Personalization team. The role focuses on building and operating scalable infrastructure, pipelines, serving layers, and production systems for customer-facing machine learning products.
Responsibilities
- Design, build, and maintain scalable machine learning infrastructure and pipelines
- Deploy, optimize, and support production machine learning systems
- Build model serving frameworks and operational systems to support recommendation and personalization platforms
- Partner closely with Data Scientists to productionize machine learning models and features
- Improve model performance, latency, scalability, reliability, and operational efficiency
- Design engineering solutions supporting search, recommendations, personalization, and content discovery initiatives
- Build and maintain containerized machine learning applications and infrastructure
- Implement observability, monitoring, and performance optimization strategies
- Evaluate opportunities to incorporate Agentic AI workflows and emerging AI technologies where appropriate
Skills
- 8+ years of professional experience in Machine Learning Engineering, Software Engineering, MLOps, or a related field
- Proven experience deploying recommendation systems, search platforms, ranking solutions, or personalization engines in production
- Strong Python development experience
- Experience building ML pipelines, model serving frameworks, and scalable production systems
- Strong experience with Google Cloud Platform (GCP)
- Hands-on experience with Vertex AI and Vertex Search
- Experience with Kubernetes and containerized deployments
- Experience with model deployment, optimization, tuning, monitoring, and operational support
- Experience scaling machine learning solutions from proof-of-concept through enterprise production deployment
- Strong communication, ownership, accountability, and problem-solving skills
- Grocery, retail, ecommerce, marketplace, or consumer technology experience
- Experience with LangSmith for observability and evaluation of AI applications
- Familiarity with Agentic AI workflows and modern AI orchestration frameworks
- Experience with search, retrieval, recommendation, ranking, or personalization systems
- Experience developing and supporting large-scale customer-facing machine learning platforms
Company Overview
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