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Machine Learning Model Trial Testing Specialist – STUDYMONT
STUDYMONT FUTURE TECHNOLOGIES PRIVATE LIMITED

STUDYMONT FUTURE TECHNOLOGIES PRIVATE LIMITED This company has been verified by this domain - studymont.com/

India

Job Title
Machine Learning Model Trial Testing Specialist
Experience
Senior
Vacancies
300
Salary
1000 Hourly
Office time
N/A
Location
Anywhere
Job Type
Freelance Remote
Deadline
30 November, 2024
Skills
  • Azure
  • AWS
  • MLOps
  • machine learning models in production environment

Description

Job Description: We are seeking a highly skilled Machine Learning Model Trial Testing Specialist to evaluate and optimize our machine learning models. The ideal candidate will have a strong background in machine learning, data analysis, and testing methodologies. You will be responsible for conducting rigorous trials of our models, ensuring their accuracy and effectiveness in real-world applications.

Qualifications:

 

  • Proven experience in machine learning model testing and evaluation.
  • Proficiency in programming languages such as Python, R, or Java.
  • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of statistical analysis and data visualization techniques.
  • Experience with version control systems (e.g., Git) and agile development methodologies.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills, both verbal and written.

 

Preferred Qualifications:

 

  • Experience in deploying machine learning models in production environments.
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services.
  • Familiarity with MLOps practices and tools.
Job Responsibilities

Key Responsibilities:

 

  • Design and implement test plans for machine learning models.
  • Conduct thorough testing to evaluate model performance, accuracy, and robustness.
  • Analyze test results and provide actionable insights for model improvement.
  • Collaborate with data scientists and engineers to optimize model parameters and features.
  • Develop and maintain documentation of testing processes and outcomes.
  • Stay updated on the latest advancements in machine learning and testing methodologies.
  • Communicate findings and recommendations to stakeholders effectively.