AI Engineer

Required Skills

• Strong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api.
• Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security.
• Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift.
• Experience with designing, developing, and managing RESTful services for large-scale enterprise solutions.
• Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably python.
• Practitioner of unit testing, performance testing and BDD/acceptance testing.
• Understanding of OAuth 2.0 protocol for secure authorization.
• Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex.
• Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps.
• Ability to articulate technical concepts effectively to diverse audiences.
• Strong desire and ability to influence development teams and help them adopt AI.
• Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations
• Understanding of deep learning , understanding of Machine Learning frameworks such as TensorFlow or PyTorch.
• Understanding of Information Security, Secure coding practices.
• Experience in building cloud and container native applications.
• Knowledge of DevOps and Agile practices.
• Excellent communication skills.