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    MLOps Engineer - Dallas, United States - Jobot

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    Description

    Job Description

    Job Description100% Remote Role, Top US Employer, Innovative Technology Company

    This Jobot Consulting Job is hosted by: Duran Workman
    Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume.
    Salary: $80 - $85 per hour

    A bit about us:

    As a Consulting Machine Learning (ML) Engineer, you will be at the forefront of the technology industry, working with a passionate team to innovate and implement cutting-edge solutions. You will be responsible for the design, development, and deployment of machine learning models and systems. This role is perfect for someone who is excited about the potential of AI and ML, and who is eager to push the boundaries of what is possible.

    Why join us?

    • 100% Remote
    • Great Benefits w/ 401k

    Job Details

    Responsibilities:

    1. Collaborate with stakeholders to understand business problems and identify appropriate ML solutions.
    2. Design, develop, and deploy ML models using Python and other relevant tools.
    3. Implement RESTful APIs for integration of ML models into the existing systems.
    4. Utilize CI/CD pipelines for efficient and reliable deployment of ML models.
    5. Conduct regular system tests and troubleshoot any issues that may arise.
    6. Maintain and enhance existing ML models and systems to ensure they remain effective and up-to-date.
    7. Work closely with the data engineering team to ensure the availability of high-quality data for model training.
    8. Stay up-to-date with the latest ML trends and technologies and suggest ways to incorporate them into our existing systems.

    Qualifications:

    1. Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree or PhD will be an added advantage.
    2. Minimum of 5 years of experience in machine learning or a related field.
    3. Proficiency in Python and experience with Python-based ML libraries such as TensorFlow, PyTorch, or Keras.
    4. Experience with RESTful API development and integration.
    5. Strong understanding of CI/CD concepts and experience with CI/CD tools such as Jenkins, Travis CI, or CircleCI.
    6. Knowledge of cloud platforms like AWS, Google Cloud, or Azure.
    7. Excellent problem-solving skills and the ability to think critically and creatively.
    8. Strong communication skills, with the ability to explain complex concepts to non-technical team members.
    9. A passion for staying up-to-date with the latest in AI and ML, and a desire to continuously learn and grow.

    Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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