Java AWS Developer with Sagemaker

Role: typical Java/AWS developer, one focused on Sagemaker/Machine Learning

Location: Herndon, VA

Duration: Long Term

Interview preference: Phone then F2F

Onsite Position:

Call notes:

• Top Skills (Machine learning)
• Sagemaker or Spark
• Python
• Java/REST
• AWS

Top Skills: (Developer)

• AWS
• Java/REST
• Python

Major difference between the two positions:

We are looking for a Strong AWS Developer who worked on real implementations with major focus on AWS Sagemaker and Machine Learning Models development.

• 8+ years of programming experience with Java, J2EE, XML, and Web Services
• 8+ years of experiences in full life cycle application/system development
• Minimum of 7 years of experience developing in distributed application environments (Database, Transaction Management)
• 6 years of experience writing conceptual and detailed design documents, and developing large scale enterprise applications following an Agile execution model
• Strong Development/programming experience in Java or Python is must
• Strong AWS DevOps Experience (2-3 years) including AWS CodeBuild, AWS CodeCommit, AWS CodePipeline , AWS Lambda, API Gateway, AWS CLI/Yaml/Cloud Formation, Serverless Deployment
• 2-3 years of Experience/knowledge of AWS development on Lambda, APIGateway services
• 2-3 years of Experience working on data science projects and using AWS Sagemaker/Spark ML (Highly preferred) or Python
• Hands-on experience with NLP, mining of structured, semi-structured, and unstructured data
• Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques
• At least 2 years of experience with Application integrations (SOAP/REST Web Services, ESB, JMS, File/Data transfers, etc.)
• Experience with machine learning tools and libraries such as Tensor Flow
• Ability to write well designed, testable and efficient code
• Good communication and collaboration skills, team player
• Takes accountability/ownership for the assigned tasks/deliverable
• Familiar with GIT repositories (Bit Bucket) and Agile Methodology/SCRUM/Kanban

For Machine Learning role:

• Most other experience is less important as long as they’re strong with Sagemaker or Spark
• Spark experience would work in place of Sagemaker
• Someone who has developed models, and used them (likely in python – Java works, too)
• Frameworks like Tensor Flow

Nice to have

• AWS Advanced Certifications
• Deep learning, computer vision, topic modeling, graph algorithms are pluses
• Experience with any ESB technology such as TIBCO BW/BE, Mulesoft etc.
• Experience with Angular 4/5/6 development, Java script
• Experience in developing APIs using Spring Boot framework, ideally with Docker container or OpenShift Cloud Platform (OCP)

Job Type: Contract

Experience:

• AWS: 5 years (Required)
• software development: 5 years (Required)
• machine learning: 1 year (Required)
• Java: 9 years (Required)
• Sagemaker: 5 years (Required)

Contract Length:

• 1 year

Contract Renewal:

• Possible