Artificial Intelligence/Machine Learning Operations (MLOps) Specialist

An AI/ML Quality Assurance (QA) Analyst ensures the reliability and effectiveness of artificial intelligence (AI) and machine learning (ML) models within software applications or systems. 

They are crucial in ensuring these models perform as expected, are scalable, and are reliable in various operating conditions. With their strong understanding of AI/ML principles, data science, and software quality assurance, they play a crucial role in deploying robust AI/ML solutions.

AI/ML QA Analysts are responsible for developing and implementing testing strategies for AI/ML models. They perform various types of testing, including but not limited to functional, performance, and scalability testing on AI/ML models. 

They identify and document defects and verify fixes in AI/ML systems. Also, they work closely with data scientists and AI/ML developers to understand the models' expected behavior and performance. 

These analysts use metrics and statistical tools to assess model performance, and they validate that the AI/ML models meet the requirements and adhere to established standards and regulations. 

Additionally, they contribute to improving QA methodologies related to AI/ML testing and validation.

Are you a tech-savvy professional with expertise in AI/ML operations (MLOps)? 

Join us as an Artificial Intelligence/Machine Learning Operations (MLOps) Specialist and be the driving force behind the seamless deployment and management of our AI/ML models!

This is an excellent opportunity to maximize your expertise in AI/ML infrastructure, model deployment, and monitoring to ensure the reliability, scalability, and efficiency of our AI/ML systems. 

From designing automated workflows to implementing continuous integration and deployment pipelines, your skills will optimize the lifecycle of AI/ML models. 

If you have a strong technical background in AI/ML, software development, and MLOps, along with excellent problem-solving and communication skills, apply now!

• Develop and maintain MLOps infrastructure and tools to support AI/ML projects.
• Identify and troubleshoot issues in the MLOps infrastructure and processes.
• Analyze and optimize the performance and scalability of the MLOps environment.
• Collaborate with the development and engineering teams to implement AI/ML projects and ensure smooth integration.
• Develop and implement testing procedures and automated processes for the MLOps environment.
• Monitor data processing and take appropriate actions for anomalies or unexpected results.
• Continuously improve system scalability, reliability, and performance.
• Handle MLOps-related incidents and issues, ensuring timely resolution.
• Prepare comprehensive MLOps reports containing performance metrics and analysis for stakeholders.
• Manage and audit compliance of the MLOps environment with industry standards and regulations.

• Efficient and reliable MLOps processes and infrastructure.
• Improved performance and scalability of the MLOps environment.
• Increased accuracy and consistency of AI/ML projects.
• Reduced incidents and issues related to the MLOps infrastructure.
• Timely production of comprehensive MLOps reports informing decision-making.

• Bachelor's degree in Computer Science or equivalent field.
• Minimum of 5 years of experience in software development, AI/ML, and MLOps.
• In-depth knowledge of MLOps frameworks, tools, and technologies.
• Strong proficiency in scripting languages such as Python, Java, or similar.
• Excellent debugging and troubleshooting skills.
• Proven experience in developing and maintaining MLOps infrastructure and processes.
• Ability to work independently with minimal supervision.