AI Ops Engineer

Job Title: AI Ops Engineer

Location: Germany
Employment 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 Responsibilities

• Design, 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 & Experience

• Proven 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 Qualifications

• Experience 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.