Senior Applied Machine Learning Engineer
Core
Design, develop, and deploy machine learning models and AI solutions for real-world customer problems, focusing on usability, scalability, and performance.
Role type
Senior Applied Machine Learning Engineer (IC)
Builds
Production ML models, AI agents, and scalable integrations for customer-facing environments
Domain
Enterprise Edge-to-Cloud / AI & Machine Learning
Deliverable
production ML models
Required skills
Machine learning model deployment, AI agent development, backend programming (Python, Go), open-source ML tools (MLFlow, Spark, LangChain, Kubeflow), Kubernetes, deep learning, model fine-tuning
Preferred skills
Inference optimization, large-scale data pipelines, retrieval-augmented systems (RAG)
Responsibilities
Design and deploy ML models addressing customer problems; develop demos, POCs, and MVPs to showcase AI capabilities; integrate open-source ML tools in production; fine-tune models for accuracy and efficiency; translate requirements into actionable AI solutions; mentor junior team members
Seniority
Senior, hands-on IC
