Java Engineer
2 days ago
Java + AI/ML role required with at least 6+ years of industry experience on Java, Spring Boot, Spring Data & at least 2 years of AI/ML project professional experience.
Strong experience in building and consuming REST APIs and asynchronous messaging (Kafka/RabbitMQ).
Working experience in integrating AI/ML models into Java services or calling external ML endpoints (REST/gRPC).
Understanding of ML lifecycle: training, validation, inference, monitoring, and retraining.
Familiarity with tools like TensorFlow, PyTorch, Scikit-Learn, or ONNX.
Prior experience in domain-specific ML implementations (e.g., fraud detection, recommendation systems, NLP chatbots)
Experience working with data formats like JSON, Parquet, Avro, and CSV.
Solid understanding of database systems both SQL (PostgreSQL, MySQL) and NoSQL (Redis).
Integrate machine learning models (batch and real-time) into backend systems and APIs.
Optimize and automate AI/ML workflows using MLOps best practices.
Monitor and manage model performance, versioning, and rollbacks.
Collaborate with cross-functional teams (DevOps, SRE, Product Engineering) to ensure seamless deployment.
Exposure to MLOps tools like MLflow, Kubeflow, or Seldon.
Experience with any 1 of the cloud platforms, preferably AWS & Knowledge of observability tools & its metrics, events, logs, and traces (for e.g., Prometheus, Grafana, Open Telemetry, Splunk, Data Dog, App Dynamics, etc..).
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