ML Ops Test Engineer - Diverse Linx

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Hope you are doing great !
I have below job position please go through it and if interested please reply

Title : ML Ops Test Engineer
Location : Pittsburgh , PA(Onsite)
Full time position

Position Overview: An ML Ops Test Engineer is responsible for ensuring the reliability, scalability, and performance of machine learning models in production. This role involves developing and executing comprehensive tests, monitoring model performance, and collaborating with data scientists and software engineers to maintain robust ML systems.
Key Responsibilities:

• Develop and Execute Tests: Design and implement test cases to evaluate the performance, robustness, and reliability of ML models.
• Statistical Analysis: Perform statistical analysis and fine-tuning using test results to improve model accuracy and efficiency.
• Model Monitoring: Continuously monitor the health and performance of deployed models, identifying and addressing issues proactively.
• Collaboration: Work closely with data scientists, software engineers, and DevOps teams to integrate testing processes into the ML lifecycle.
• Automation: Develop and maintain automated testing frameworks and CI/CD pipelines for ML models.
• Documentation: Document test plans, procedures, and results to ensure transparency and reproducibility.
• Stay Updated: Keep abreast of the latest developments in ML, MLOps, and testing methodologies.

Required Skills:

• Programming Languages: Proficiency in Python, Java, or Scala.
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch, scikit-learn, or Keras.
• Data Engineering: Knowledge of data pipelines, data processing, and storage solutions like Hadoop, Spark, and Kafka.
• Cloud Computing: Familiarity with cloud platforms such as Azure.
• Containerization and Orchestration: Expertise in Docker and Kubernetes.
• Version Control: Proficiency with Git and CI/CD tools.
• Analytical Skills: Strong analytical and problem-solving skills to interpret test results and improve model performance.

Preferred Qualifications:

• Experience: Previous experience in MLOps, software testing, or a related field.
• Certifications: Relevant certifications such as Azure AI Engineer Associate.

Soft Skills:

• Communication: Excellent verbal and written communication skills to collaborate effectively with cross-functional teams.
• Attention to Detail: Meticulous attention to detail to ensure the accuracy and reliability of test results.
• Adaptability: Ability to adapt to rapidly changing technologies and methodologies in the ML and MLOps landscape.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.