Java MS Developer | Onsite | Bellevue

Position Summary

We are seeking a skilled Java API Developer with Machine Learning (ML) expertise to design, develop, and integrate robust APIs with machine learning models. The ideal candidate will have a strong foundation in Java, API development, and machine learning frameworks. This role involves collaboration with data scientists, backend engineers, and product teams to deploy scalable and efficient solutions that deliver data-driven insights.

Key Responsibilities

API Development:

• Design, develop, and maintain RESTful and GraphQL APIs using Java frameworks (Spring Boot, Hibernate, etc.).
• Ensure APIs are scalable, secure, and performant.
• Implement API versioning and robust error handling.

Machine Learning Integration:

• Collaborate with data scientists to integrate ML models into APIs.
• Optimize ML model inference performance for real-time and batch processing.
• Implement model monitoring and logging to track performance in production.

Backend Development:

• Develop and maintain microservices architecture.
• Integrate APIs with relational (e.g., MySQL, PostgreSQL) and non-relational databases (e.g., MongoDB, Cassandra).
• Implement caching mechanisms (e.g., Redis) to improve performance.

Machine Learning Pipeline:

• Build pipelines to deploy ML models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Develop features for model re-training, data preprocessing, and version control.

Testing and Documentation:

• Write unit and integration tests using JUnit, Mockito, or similar frameworks.
• Document API specifications using Swagger/OpenAPI.
• Create comprehensive technical documentation for ML model integration.

Collaboration and Communication:

• Work closely with cross-functional teams, including product managers, data engineers, and ML specialists.
• Participate in code reviews, sprint planning, and agile ceremonies.

DevOps and Deployment:

• Deploy APIs and ML models using Docker, Kubernetes, and CI/CD pipelines.
• Monitor system health and optimize for scalability and reliability.

Required Skills and Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• Experience:
  • 3+ years of Java API development experience.
  • 2+ years of experience with machine learning model integration.
• Technical Expertise:
  • Proficient in Java, Spring Boot, and API design principles.
  • Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with data processing libraries such as Pandas, NumPy, or Apache Spark.
  • Knowledge of authentication mechanisms (e.g., OAuth 2.0, JWT, SAML).
  • Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
• Strong understanding of REST, GraphQL, and microservices architecture.
• Proficiency in relational and NoSQL databases.
• Experience with Git, Jenkins, or similar CI/CD tools.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to work in a fast-paced and dynamic environment.

Compensation, Benefits and Duration

Minimum Compensation: USD 50,000
Maximum Compensation: USD 175,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post