Java Lead with AI/ML

  • Los Angeles, CA
  • Posted 1 day ago | Updated 1 day ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

PyTorch
Natural Language Processing
Natural Language
MongoDB
Machine Learning (ML)
Microservices
TensorFlow
Java
Text Mining

Job Details

Title: Java Lead with AI/ML
Location: Woodland Hills, CA Onsite 3 days
Type : Contract

We are seeking an experienced Technical Lead -Java with a strong background in Spring Boot and Natural Language Systems (NLS) to join our dynamic team. The ideal candidate will design, develop, and optimize scalable Java applications while integrating advanced NLP, AI, and machine learning models into our platform.

Key Responsibilities:
Develop and maintain Java-based microservices using Spring Boot, Spring Cloud, and Hibernate.
Implement and optimize Natural Language Systems (NLS), integrating with NLP APIs, LLMs, and AI models.
Design RESTful APIs and ensure seamless system communication using GraphQL, gRPC, or WebSockets.
Collaborate with AI/ML engineers to enhance text processing, speech-to-text, and chatbot applications.
Work with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Elasticsearch) for efficient data storage and retrieval.
Utilize message brokers (Kafka, RabbitMQ) for event-driven architectures.
Optimize code for high performance, scalability, and security following best practices.
Conduct unit, integration, and performance testing using JUnit, Mockito, and TestContainers.
Troubleshoot, debug, and enhance system reliability in a CI/CD pipeline (Jenkins, GitHub Actions, Docker, Kubernetes).

Requirements:
5+ years of hands-on experience in Java development with Spring Boot framework.
Proficiency in Natural Language Systems (NLS), including NLP processing and AI model integration.
Experience in building scalable, distributed systems and microservices architecture.
Strong knowledge of RESTful APIs, GraphQL, WebSockets, and API security protocols (OAuth, JWT, SAML).
Familiarity with AI/ML frameworks like TensorFlow, PyTorch, or OpenAI APIs is a plus.
Experience working with containerized applications (Docker, Kubernetes, Helm charts).
Understanding of DevOps practices, including CI/CD, monitoring, and cloud deployments (AWS, Google Cloud Platform, or Azure).
Knowledge of text analytics, entity recognition, speech processing, and chatbot development is a strong advantage.
Strong problem-solving skills and ability to work in Agile/Scrum teams

Regards,
Chindhu Prasad | Recruitment Executive
Galent (Formerly Diamondpick)
Phone: +1
LinkedIn:

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