AppTestify - MLOps Expert - DevOps Practices

<p><p><b>About AppTestify :</b><br/><br/>AppTestify is a leading provider of On-Demand Testing and Digital Engineering Services, specializing in scalable, technology-driven solutions for businesses of all sizes.

With a global client base and a team of over 100 expert engineers, we help organizations accelerate software delivery and improve product quality.

Our core offerings include DevOps services, automation testing, API and functional testing, mobile testing, and end-to-end digital engineering solutions.<br/><br/><b>Role Overview :</b><br/><br/>We are seeking a highly experienced DevOps for ML (MLOps) Expert with 1012 years of professional experience in deploying, automating, and monitoring machine learning workflows.

This is a senior-level role that combines expertise in DevOps best practices with a strong understanding of the ML lifecycle from model development to production deployment and real-time monitoring.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, implement, and maintain CI/CD pipelines tailored for machine learning workflows.<br/><br/>- Automate the deployment of ML models into production environments ensuring scalability, reproducibility, and traceability.<br/><br/>- Develop and maintain infrastructure as code (IaC) for seamless and consistent environment provisioning.<br/><br/>- Integrate tools and platforms for real-time model monitoring, drift detection, and performance observability.<br/><br/>- Standardize ML model packaging and versioning across different environments (dev, staging, production).<br/><br/>- Collaborate with data scientists, ML engineers, and software developers to streamline the end-to-end ML lifecycle.<br/><br/>- Ensure robust logging, monitoring, and alerting for deployed models to support issue diagnosis and continuous improvement.<br/><br/>- Implement best practices in security, compliance, and cost optimization for ML infrastructure.<br/></p><br/></p> (ref:hirist.tech)