Jobs · Engineering · New York

Senior AI Engineer

Ro · New York, NY · 2 wk ago
HybridEngineeringFull-time

About the role

The Senior AI Engineer will lead the development and implementation of advanced machine learning models to enhance our company's products and services. This role requires expertise in deep learning, natural language processing, and computer vision.

Responsibilities

  • Design and develop cutting-edge AI models that improve user experiences and business outcomes.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Conduct research on emerging AI technologies and their potential applications within the company.
  • Train and mentor junior engineers in AI techniques and best practices.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Minimum 7 years of relevant work experience in AI engineering.
  • Proven track record of developing and deploying successful AI models.
  • Experience with frameworks such as TensorFlow, PyTorch, or Keras.
  • Strong understanding of machine learning algorithms and neural networks.
  • Excellent problem-solving skills and ability to work independently and collaboratively.

Qualifications

  • Advanced degree in Computer Science, Engineering, or a related field.
  • Experience with large-scale data processing and machine learning model training.
  • Knowledge of cloud platforms like AWS, Google Cloud, or Azure.
  • Experience with ethical considerations in AI development and deployment.

Skills

  • Proficiency in Python and other programming languages.
  • Experience with database management systems.
  • Good communication and presentation skills.

Benefits

  • Competitive salary commensurate with experience.
  • Flexible work schedule with options for remote work.
  • Health insurance coverage.
  • Annual performance-based bonuses.
  • Professional development opportunities.

Pay

Salary is competitive and commensurate with experience.

Schedule

This position offers a hybrid schedule, combining remote work with in-office days.

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