- Azure
- AWS
- MLOps
- machine learning models in production environment


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
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.