Senior Applied Machine Learning Engineer
Core
Design, develop, and deploy machine learning models and AI solutions (including AI agents) to address real-world customer problems and improve product performance.
Role type
Senior Applied Machine Learning Engineer
Builds
Production ML models, AI agents, and scalable integrations for customer-facing environments
Domain
Enterprise edge-to-cloud infrastructure and AI/ML solutions
Deliverable
production ML models
Required skills
Machine learning model deployment, AI agent development and coding, backend programming (Python, Go), open-source ML/AI tools (MLFlow, Spark, LangChain, Kubeflow), Kubernetes, deep learning, model fine-tuning
Preferred skills
Retrieval-augmented generation (RAG), inference optimization, large-scale data pipelines
Technologies
Python, Go, MLFlow, Spark, LangChain, Kubeflow, Kubernetes
Responsibilities
Design and deploy ML models for customer problems; develop demos, POCs, and MVPs for new AI capabilities; integrate open-source ML tools into production; fine-tune models for accuracy and scalability; translate customer requirements into actionable AI solutions; collaborate with product and engineering teams; mentor junior team members
Seniority
Senior, hands-on IC