Logo United Software Group Inc
Destaque

AIML Engineer

United Software Group Incvia LinkedIn
RemotoMinneapolis, Minnesota, UsSêniorCLTOntem

Salário Estimado

R$ 12.870,00 - R$ 19.305,00

0de 100

Regular

Score da Vaga

Descrição da Vaga

Job Title: Lead AI/ML Engineer Location : Remote Duration : Fulltime Teams Meeting Video Call Description Required Qualifications:

Proven AI/ML Leadership: 10-15 years of experience in the AI/ML field, with at least 4-5 years in a leadership or management role leading technical teams in the delivery of complex AI solutions.
Experience with AI Governance: Direct, hands-on experience successfully navigating an internal AI ethics, risk, or governance review process for multiple projects. • Strong Project Management Skills: Demonstrated ability to manage complex technical projects from conception to deployment, with expertise in agile methodologies.
Expertise in the ML Lifecycle: Deep, practical knowledge of the entire machine learning lifecycle, from data acquisition and feature engineering to model deployment and post-launch monitoring. • Hands-on MLOps Experience: Proven experience building and managing CI/CD pipelines and MLOps workflows for machine learning.
Strong Technical Foundation: Proficient in Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud platforms (AWS, Azure, or GCP).

Requisitos

  • Proven AI/ML Leadership: 10-15 years of experience in the AI/ML field, with at least 4-5 years in a leadership or management role leading technical teams in the delivery of complex AI solutions
  • Experience with AI Governance: Direct, hands-on experience successfully navigating an internal AI ethics, risk, or governance review process for multiple projects
  • Strong Project Management Skills: Demonstrated ability to manage complex technical projects from conception to deployment, with expertise in agile methodologies
  • Expertise in the ML Lifecycle: Deep, practical knowledge of the entire machine learning lifecycle, from data acquisition and feature engineering to model deployment and post-launch monitoring
  • Hands-on MLOps Experience: Proven experience building and managing CI/CD pipelines and MLOps workflows for machine learning
  • Strong Technical Foundation: Proficient in Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud platforms (AWS, Azure, or GCP)

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Informações

NívelSênior
ContratoCLT
LocalMinneapolis, Minnesota, Us
RemotoSim
MoedaBRL
PublicadaOntem
FonteLinkedIn

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