Tech Integration Engineers
14 hours ago
Skill Sets
- AI/ML Knowledge: Experience with LLMs, RAG, vector databases, and ML frameworks (PyTorch, TensorFlow, Hugging Face).
- MLOps: Familiarity with CI/CD for ML, model deployment, monitoring, and retraining workflows.
- System Integration: Proficiency with APIs (REST, GraphQL, gRPC), microservices, Docker, Kubernetes, and orchestration tools.
- Data Engineering: Strong SQL/NoSQL skills, ETL/ELT pipeline development, and handling structured/unstructured data.
- Cloud Platforms: Hands-on experience with AWS, Azure, or GCP for AI workload deployment and scalability.
- Security & Compliance: Knowledge of OAuth, JWT, data encryption, and regulatory standards (e.g., GDPR, HIPAA).
- Programming: Proficiency in Python; working knowledge of Java, Go, or for integrations.
- Automation & DevOps: Familiarity with Terraform, Ansible, and scripting for deployment automation.
Key Responsibilities
- Develop monitoring and benchmarking frameworks to evaluate integration performance, identify bottlenecks, and provide actionable insights for optimization.
- Ensure data consistency, accuracy, and integrity across systems through robust validation, transformation, and error-handling mechanisms.
- Collaborate with cross-functional teams to align integration solutions with business objectives, ensuring compatibility with both legacy and modern systems.
- Apply industry best practices for version control, CI/CD pipelines, and automated deployment of integration solutions.
- Implement security protocols, compliance standards, and governance frameworks to safeguard data during transfer and integration processes.
- Support production deployment by troubleshooting, maintaining, and continuously improving integration workflows for scalability, reliability, and maintainability.
Role may require travel / secondment to GCC.
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