ML Ops Test Engineer
ML Ops Test Engineer
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Job Description
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Position: ML Ops Test Engineer
Location: Pittsburgh PA (3 days in office/week)
Job Type: Full Time (FTE)
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 finetuning 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 scikitlearn 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 problemsolving 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 crossfunctional 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.
Candidate Info
Full Name
Contact No.
Email ID:
LinkedIn ID/Link
Current Location (City State)
Work Authorization
Overall Years of Experience
Salary
Relevant Years of Experience
Willing relocate within USA (All US or if Specific Locations List Out)
Format Can Work: (Onsite 5 day/Hybrid/Remote)
Notice Period
Highest Education
CPUC Certified
Address: 3 Ethel Rd Suite # 302 Edison NJ 08817
Rahul Kumar
Senior Technical Recruiter
Contact: (848) Ext: 3952
Employment Type
Full Time
