Overview

MLOps & AIOps ArchitectCochin (India)/BangaloreGrow and shape a secure future together with us!mispa Technologies is an innovative IT security services and solution provider with head office in Langenfeld (Rhineland), Germany and Dev & Operations Center in Cochin (India).

Responsibilities

• Design & Implementation – Lead the design and implement AIOps architecture, build data pipelines and develop intelligent alert correlation and event noise reduction mechanisms including predictive models.MLOps pipelines - Architect, implement, and manage scalable and robust MLOps pipelines for machine learning lifecycle, including model training, validation, deployment, monitoring, and retraining.
• Implement model versioning, experiment tracking, model registry, and model governance using tools such as MLflow or equivalent platforms.
• Support internal and customer audits related to AI-driven operations, data management, and automation controls.Collaboration - Collaborate with data engineers and software developers to integrate machine learning solutions into broader software products and platforms.
• Develop automated monitoring and alerting mechanisms for model performance and data drift. Foster DevSecOps practices embedding security at every stage of the ML and software lifecycle.
• Act as an active interface and connection between Operations and Development Teams.Technical Mentorship: Mentor and provide expert technical guidance to the development team, fostering a culture of continuous improvement and innovation. Set up internal knowledge-sharing formats such as Knowledge Sharing Sessions, brown bags, or internal training paths.
• Act as a reviewer for infrastructure code and ML pipeline design.
• Support talent development by identifying skill gaps and aligning with mispa HR.Qualifications & SkillsAt least 5 years of successful work experience in AIOps and MLOps as Architect within a complex, internationally active organizations and totally more than 12 years of software engineering experience within Predictive Analytics, Data

Qualifications

• in AIOps and MLOps as Architect within a complex, internationally active organizations and totally more than 12 years of software engineering
• experience within Predictive Analytics, Data Design, AI/ML areas.Deep expertise in Linux OS, and different scripting and programming languages and automation tools like Python, GO, Terraform, Ansible, Bash, shell, PowerShell, and other automation tools to manage cloud and on-prem infrastructure.Good
• understanding of ML frameworks and workflows such as TensorFlow, PyTorch, or Scikit-learn and MLflows.Ability to work with infrastructure, network, firewall, cloud, SOC, and service management teams and good knowledge of ITIL processes, especially incident, problem, change, event, and capacity management.You demonstrated
• experience in automating operation of security and infrastructure components, have sound knowledge of infrastructure and performance monitoring systems and the integration to automation platform.
• Bachelors degree in computer science/engineering and profound knowledge in infrastructure and security architecture.
• Experience with big data technologies,