Senior ML Developer (Java, AWS)

About the role

New York, NY, United States (On\-site) Contract (2 months 28 days) Published 6 hours ago docker containers DevOps \& CI/CD java terraform AWS cloud platform AWS lambda dynamodb spring boot framework AI/ML Senior Developer responsible for designing, developing, and supporting scalable document analysis solutions using Java/Spring Boot and AWS AI/ML services. The role focuses on building event\-driven pipelines for document ingestion, extraction, and classification, integrated with enterprise systems.

**Key Responsibilities:**

* Design and develop document processing pipelines using Java, Spring Boot, and microservices architecture * Implement event\-driven workflows using AWS S3, Step Functions, and EventBridge * Integrate AWS Textract for document extraction and AWS Comprehend for classification and entity analysis * Build, train, and optimize ML/NLP models for document classification and data extraction * Develop and manage REST APIs and integrations with external and enterprise systems * Implement Infrastructure\-as\-Code (Terraform/CloudFormation) for AWS resource provisioning * Set up and maintain CI/CD pipelines using GitHub and Jenkins * Troubleshoot production issues and ensure system performance, scalability, and reliability * Create and maintain technical documentation

**Required (Must\-Have) Skills**:

* Strong hands\-on experience in Java and Spring Boot (Microservices) * Proven experience with AWS services: Textract, Comprehend, S3, Step Functions, EventBridge * Strong experience in event\-driven architecture design and implementation * Hands\-on experience with ML/NLP model development (classification, extraction) * Experience with REST API design and integrations * Experience with CI/CD pipelines (GitHub, Jenkins) * Experience with Infrastructure\-as\-Code (Terraform or CloudFormation) * Strong debugging and production support experience

**Preferred (Nice\-to\-Have) Skills**:

* Experience with AWS SageMaker for model training/deployment * Hands\-on experience with AWS Lambda (serverless architectures) * Experience with DynamoDB or NoSQL databases * Exposure to document processing/intelligent automation use cases * Experience with Docker/containerization

**Experience**:

* 5 to 10\+ years of experience in backend development * Strong experience in delivering AWS\-based production solutions * Hands\-on experience with Textract and Comprehend implementations * Experience in building scalable, high\-performance, event\-driven systems

**Education:**

* Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

The pay range that the employer in good faith reasonably expects to pay for this position is $34\.67/hour \- $54\.18/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non\-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.