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Machine Learning Engineer III

Posted 3 months agoViewed

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💎 Seniority level: Senior, Minimum 6 years of professional experience in machine learning

📍 Location: Utica, NY, Rome, NY, Air Force Research Lab, Rome, NY

💸 Salary: 110000 - 150000 USD per year

🔍 Industry: Cyber technology, machine learning, and artificial intelligence

🏢 Company: Technergetics👥 11-50ComputerSoftware

🗣️ Languages: English

⏳ Experience: Minimum 6 years of professional experience in machine learning

🪄 Skills: AWSDockerPythonSoftware DevelopmentAgileArtificial IntelligenceCypressDjangoJestJUNITKubernetesMachine LearningPyTorchSCRUMC++GoTensorflowLinux

Requirements:
  • Master’s degree and minimum 6 years of professional experience in machine learning.
  • Experience in Python and/or C++.
  • Experience with machine learning frameworks like TensorFlow, PyTorch.
  • Experience in evaluating, training, and deploying machine learning models.
  • Experience with Jupyter Notebooks.
  • Experience in cloud-based computing platforms like AWS.
  • Experience in server-side development (API definitions, REST services).
  • Experience in containerization technologies and deployment frameworks like Kubernetes or Docker.
  • Experience in application frameworks (Node, Spring, React, etc.).
  • Experience in either Linux or Microsoft Windows platforms.
  • Experience with Automated Testing (JUnit, Jest, Cypress).
  • Experience with Agile software development techniques.
Responsibilities:
  • Leads the design, development, and deployment of machine learning models and algorithms to solve complex business problems.
  • Leads integration of state-of-the-art machine learning libraries and frameworks into existing software applications.
  • Develops and maintains data pipelines for collecting, preprocessing, and transforming data for machine learning tasks.
  • Designs software solutions, algorithms, and cloud architectures needed to satisfy product features and functionality.
  • Leads, coaches, and mentors junior data scientists, engineers, and other staff.
  • Contributes to phases of the software development life cycle.
  • Participates in daily scrums and collaborates with cross-functional teams.
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