Senior ML/AI Engineer

🕒 Ontem

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 13%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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TailorCare

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🏥 Saúde

⚕️ Seguro de Saúde

Healthcare • Healthcare Insurance

A TailorCare é uma empresa de saúde especializada em fornecer soluções de cuidado personalizadas para pacientes com problemas musculoesqueléticos (MSK), como dores nas articulações, nas costas e nos músculos. Ela capacita os pacientes conectando-os com especialistas, coordenando consultas e auxiliando nas decisões de tratamento. A TailorCare utiliza uma abordagem centrada no paciente, apresentando Navegadores Clínicos, que são fisioterapeutas licenciados, para apoiar os pacientes ao longo de sua jornada de cuidados. Eles colaboram de perto com prestadores de cuidados primários, prestadores de cuidados especializados e pagadores para oferecer opções de tratamento baseadas em evidências que otimizam os resultados de saúde e melhoram a experiência do paciente.

Descrição

• Build the decisioning and feedback layer between model scores and actions, including action selection, holdout and experiment assignment, outcome capture, and lift measurement • Design and build event-driven, real-time integrations between model outputs and operational systems, including streaming pipelines, schemas, replay, ordering, and failure handling • Instrument and manage compute, streaming, inference, and LLM costs with budgets and alerts • Deploy, monitor, and retrain production ML models using CI/CD, model registries, and alerting for drift, coverage, and calibration • Build and improve predictive models using healthcare claims, authorization, and operational data • Expand AWS-native infrastructure alongside the Databricks lakehouse using infrastructure as code, IAM, secure data handling, containerized inference, and managed foundation-model services under PHI controls • Extend the feature store and data assets toward real-time features • Own production GenAI applications, including LLM pipelines and agentic workflows with evaluation, retrieval, guardrail, and cost controls • Partner with data scientists, data engineering, and software engineering on production models, pipelines, interfaces, and contracts • Establish engineering standards through code review, automated testing, reproducibility, documentation, and release discipline • Mentor data scientists on production practices • Report to the Director, AI & Decision Intelligence and collaborate with clinical and operations partners

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience • 5+ years in ML engineering, MLOps, or data science, including 3+ years operating ML systems in production • Production experience with Databricks, PySpark, Delta Lake, and MLflow • Production experience with AWS data and ML services and infrastructure as code (Terraform, CDK, or CloudFormation) • Hands-on experience designing and running event-driven or streaming systems (Kinesis, Kafka, or equivalent) with schema or contract management • Strong Python and SQL • Experience building and evaluating ML models with scikit-learn, XGBoost, or PyTorch • CI/CD for ML workloads and model and pipeline monitoring • Ability and willingness to travel up to 10% as needed for onsite meetings, team collaboration, and company events • Desired: experience with recommendation, decisioning, or experimentation systems; dbt; healthcare data and PHI handling; containerized model serving; Amazon Bedrock or managed foundation-model platforms under a HIPAA BAA; agentic frameworks; retrieval systems; LLM applications, evaluation, and guardrails

🏖️ Benefícios

• Meaningful work and mission-driven environment • Remote-first work environment with options for a hybrid work model in Nashville • Generous paid time off (PTO) and holiday plans • Paid parental leave • Flexible work-life balance and autonomy • Medical, dental, vision, life, and disability insurance from Day 1 • Wellness resources • Employer HSA contribution • 401(k) plan with employer matching • Inclusive community and collaborative work environment

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