AI Engineer

We are looking for 2 AI Engineers to join advanced AI/ML initiatives within the banking sector. The role involves designing and training ML models, building end-to-end ML pipelines, and deploying models into production in an environment based on Openshift and microservices.
Key Responsibilities
•Develop and train AI/ML models for banking use cases (fraud detection, scoring, NLP, automation).
•Build and maintain ML pipelines using Python, Spark, Trino, and Kafka.
•Deploy ML models into production via microservices (Spring Boot or Python-based APIs).
•Integrate AI solutions into the On-Premise Openshift ecosystem.
•Optimize model performance and production run-time environments.
•Conduct performance testing (JMeter) and monitor systems with Dynatrace.
•Support the introduction of cloud-based AI platforms (Azure ML, Vertex AI, AWS Sagemaker).
•Participate in the adoption of MCP within the organization.

Technical Requirements

• Strong proficiency in:
  o Python for ML/AI
  o Apache Spark, Kafka, Trino

         o Spring Boot or Python API development
         o GitLab CI/CD, JMeter, Dynatrace

• Experience with ML frameworks such as TensorFlow or PyTorch (considered an advantage).
• Prior experience in banking is a strong plus.
• Understanding of production environments, containers, and orchestration.
• Cloud AI familiarity is a plus (Azure, GCP, AWS).

Soft Skills

•Curiosity and experimentation mindset.
•Collaboration and strong communication.
•Adaptability to hybrid environments (On-Prem + Cloud).