Job Title: AI Ops EngineerLocation: GermanyEmployment Type: 6 Month Contract (Extension Available)About the Role We are seeking an AI Ops Engineer to design, implement, and optimize AI-powered operational solutions for our clients. The ideal candidate will combine technical depth in AI/ML with strong consulting skills, enabling the delivery of intelligent automation strategies that transform business operations. This role requires a hands-on, self-driven professional with a structured approach to client engagement and solution delivery. Key ResponsibilitiesDesign, develop, and deploy AI/ML solutions using Python, open-source AIOps frameworks, and hyperscaler AI platforms (e. g.
, GCP Gemini, AWS Bedrock, SageMaker, Azure ML Studio). Integrate AIOps solutions with automation tools such as Terraform and Ansible to enable scalable, automated workflows. Leverage ChatGPT and other generative AI technologies to enhance operational efficiency and decision-making. Work closely with clients to assess needs, define intelligent automation strategies, and ensure successful delivery. Implement structured engagement and delivery methodologies to maintain consistency and quality. Monitor, maintain, and continuously improve deployed AI-driven systems for performance and reliability. Stay ahead of emerging trends in AI/ML, AIOps, and automation technologies to advise clients on best practices.
Required Skills & ExperienceProven hands-on experience with Python, AI/ML frameworks, and open-source AIOps tools. Proficiency in hyperscaler AI platforms such as GCP Gemini, AWS Bedrock, SageMaker, and Azure ML Studio. Strong experience in integrating AI solutions with automation tools (Terraform, Ansible, etc. ). Demonstrated ability to incorporate ChatGPT and generative AI into operational processes. Excellent client-facing and consulting skills with the ability to influence and guide stakeholders. Self-motivated, proactive, and capable of driving projects independently. Structured and methodical approach to solution delivery. Preferred QualificationsExperience in enterprise-scale automation and AI adoption projects. Familiarity with MLOps pipelines and AI model lifecycle management.
Understanding of IT operations and cloud-native infrastructure. Why Join Us?Opportunity to work on cutting-edge AI/ML and automation projects. Collaborative and innovation-driven environment. Work with leading enterprise clients to shape the future of operations through AI.
Customize your resume to highlight skills and experiences relevant to this specific position.
Learn about the company's mission, values, products, and recent news before your interview.
Ensure your LinkedIn profile is complete, professional, and matches your resume information.
Prepare thoughtful questions to ask about team dynamics, growth opportunities, and company culture.
