ML Ops Integration Engineer

Your new company

Be a part of a leading tech company, engaging with exciting new technologies.

Your new role

Our client is looking for experienced ML Ops / Integration Engineer who will focus on building and integrating Generative AI and Agentic AI solutions into enterprise environments. Engineer will work closely with data scientists, architects, and DevOps teams to design, implement, and optimize AI pipelines and infrastructure.

• Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools
• Ensure seamless deployment and integration between cloud/prem environments (AWS).
• Integrate AI models into production environments using containerized platforms such as OpenShift.
• Implement and maintain network security protocols to safeguard AI systems and data pipelines.
• Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.
• Monitor and optimize system performance, reliability, and scalability

What you need

• At least 4 years of experience in Machine Learning engineering or AI system integration.
• Experience with OpenShift, Docker, Kubernetes and Bash and Unix/Linux command-line toolkit.
• Exposure to data and network security and compliance in AI systems.
• Knowledge of cloud platforms (e.g. AWS), Workflow Orchestrator, such as Ctrl-M and Logging and Monitoring tools, such as Splunk and Geneos.
• Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry
• Experience in Python used both for automation and ML-related tasks.

What you'll get in return
This is an exciting opportunity to join a global company. You will be part of a dynamic team and you will be remunerated at market competitive rates.

What you need to do now

If you're interested in this role, click apply now to forward an up-to-date copy of your CV, or email [Confidential Information] for a confidential discussion.

Referrals are welcome.

EA Reg Number: R22110311

EA License Number: 07C3924 | Company Registration No: 200609504D