Responsibility

•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.

•Support CI/CD processes and infrastructure for AI model deployment and updates.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 2+ years of experience in Machine Learning engineering or AI system integration.

• Bash and Unix/Linux command-line toolkit is a must-have.

• Hands-on experience with OpenShift, Docker, Kubernetes.

• Knowledge of cloud platforms (e.g. AWS) is a must-have.

• Exposure to data and network security and compliance in AI systems.

• Knowledge of API integration and microservices architecture.

• Proficiency in Python used both for automation and ML-related tasks

• Knowledge of Workflow Orchestrator, such as Ctrl-M

• Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.

• Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.

• Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.

Interested - Apply here or share your cv at [email protected]

AI/ML Integration Engineer