Posted:16 hours ago|
Platform:
On-site
Contractual
Job Description:
• Develop and maintain backend microservices using Python, Java and Spring BootBuild and integrate APIs (both GraphQL and REST) for scalable service communication
• Deploy and manage services on Google Cloud Platform (GKE)
• Work with Google Cloud Spanner (Postgres dialect) and pubsub tools like Confluent Kafka (or similar)
• Automate CICD pipelines using GitHub Actions and Argo CDDesign and implement AI-driven microservices
• Collaborate with Data Scientists and MLOps teams to integrate ML ModelsImplement NLP pipelines
• Enable continuous learning and model retraining workflows using Vertex AI or Kubeflow on GCP
• Enable observability and reliability of AI decisions by logging model predictions, confidence scores and fallbacks into data lakes or monitoring tools
• 5 years of backend development experience with Java and Spring Boot
• 2 years working with APIs (GraphQL and REST) in microservices architectures
• 2 years experience integrating or consuming MLAI models in production environments (e.g. RESTful ML APIs, TensorFlow Serving or Vertex AI Endpoints)
• Experience working with structured and unstructured data (e.g. Rx Claim metadata, clinical documents, NLP processing).
• Familiarity with ML model lifecycle - from data ingestion, training, deployment, to real-time inference (MLOPS)
• 2 years hands-on experience with GCP, AWS, or Azure
If Interested please find drop the resume manasa.k@eniacsys.com
Eniac Systems, Inc.
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