Senior Azure AI / MLOps Engineer
*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" data-turn-id="request-WEB:dd91f5bc-4b9c-4edb-86a3-c03d687d1104-69" data-turn-id-container="request-WEB:dd91f5bc-4b9c-4edb-86a3-c03d687d1104-69" data-testid="conversation-turn-2" data-scroll-anchor="false" data-turn="assistant">CTG is seeking to fill a Senior Azure AI / MLOps Engineer position for our client. Location: RemoteDuration: 6 months, with possibility for extension Duties: Design and implement enterprise-scale Azure AI/ML platforms supporting production workloads. Build and operationalize end-to-end MLOps pipelines using Azure ML, Microsoft Fabric, and CI/CD frameworks. Architect secure, scalable Azure environments (VNets, RBAC, Entra ID, private endpoints, Key Vault). Develop and deploy ML models with full lifecycle automation (training, validation, registration, monitoring, rollback). Build Microsoft Fabric Lakehouse architectures using medallion design (Bronze/Silver/Gold). Develop data ingestion pipelines integrating SAP, Snowflake, Azure SQL, IoT, and manufacturing systems. Implement monitoring, observability, and alerting using Azure Monitor, Log Analytics, and Application Insights. Design dashboards and operational reporting using Power BI and Azure Workbooks. Enable real-time and near-real-time analytics using Microsoft Fabric Eventstreams and KQL databases. Ensure security, compliance, governance, and cost optimization across AI/ML environments. Skills: Azure (Machine Learning, Fabric, Data Factory, Monitor, Key Vault, Networking) Strong MLOps expertise (CI/CD, MLflow, model lifecycle management) Python, PySpark, and data engineering pipelines Infrastructure as Code (Terraform, Bicep, or ARM) Cloud security, identity management, and enterprise architecture Power BI (semantic models, dashboards) Lakehouse architecture (medallion pattern) Strong understanding of DevOps and production ML systems Experience with real-time data processing (KQL, Eventstreams) preferred Experience: 5+ years in cloud engineering, MLOps, data engineering, or AI platform roles Proven experience building production-grade ML pipelines in Azure Experience with enterprise data integrations (SAP, Snowflake, Azure SQL, IoT systems) Experience implementing cloud governance, security, and monitoring frameworks Background in manufacturing, supply chain, or industrial analytics preferred Experience working in enterprise or Agile cross-functional teams Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field Microsoft Azure certifications strongly preferred:Azure Solutions Architect Expert Azure AI Engineer Associate Azure Data Engineer Associate Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role. To Apply: To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you! The expected base salary for this position ranges from $89.00 to $94.00/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered. About CTG CTG, a Cegeka company, delivers IT and business solutions that enhance clients’ digital agility, empowering them to seize new opportunities and overcome any challenge. Backed by more than 60 years’ experience and a commitment to being a reliable, results-driven partner, we work shoulder to shoulder with clients to shape digital together. Our vision is to be an indispensable partner to our clients and the preferred career destination for digital and technology experts. With more than 9,000 team members in over 15 countries, we combine global expertise with local insight to deliver innovative solutions. We operate across the Americas, Europe, and India, working with over 3,000 clients in many of today's highest-growth industries. Together, we shape what’s next—working shoulder to shoulder to deliver impactful solutions for our clients and society. Our culture is built by the people who work at CTG, the values we hold, and the actions we take. It's a living, breathing thing that is renewed every day through the ways we engage with each other, our clients, and our communities. At CTG, you’ll find a workplace where you are encouraged to grow, supported in your ambitions, and empowered to shape your own career journey. For more information, visit www.ctg.com. CTG will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of all applicable local, state, and federal laws. CTG is an Equal Opportunity Employer. CTG will assure equal opportunity and consideration to all applicants and employees in recruitment, selection, placement, training, benefits, compensation, promotion, transfer, and release of individuals without regard to race, creed, religion, color, national origin, sex, sexual orientation, gender identity and gender expression, age, disability, marital or veteran status, citizenship status, or any other discriminatory factors as required by law. CTG is fully committed to promoting employment opportunities for members of protected classes. Apply To This Job