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Java Full Stack Engineer - Artificial Intelligence / Machine Learning

Java Full Stack Engineer - Artificial Intelligence / Machine Learning

VakconsultingIndia
4 days ago
Job description

Java Full Stack Engineer with AI

Location : Pan India - onsite

Joining : Immediate Joiner

Experience : 6+ years of experience

Interview : F2F interview at Client office.

Job Description :

  • 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).
  • Advanced proficiency in scripting languages such as Python and Bash to support automation and system integration efforts.
  • 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

(ref : hirist.tech)

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