Job summary:


Title:
Senior Machine Learning (ML) Engineer - Remote

Location:
Remote

Length and terms:
Long term - W2 or C2C


Position created on 08/22/2025 08:16 pm

Job description:


**** Webcam interview;  *** Long term project *** Remote **** 

Job Description:

  • Python,SpringBoot,Java,AWS,Terraform,JUNIT,Mockito,Polyglot,PostgreSQL,Swagger.
  • Working with business teams and technical leadership teams to understand the requirements.
  • Analyze the business requirements and ability to convert them into meaningful user stories for implementation.
  • Ability to estimate the size of the user stories using story points and prioritize those user stories for execution.
  • Participate the spring-planning sessions and help Technical Product Owners to plan the sprint(s).
  • Develop the assigned user stories using enterprise standards by following the best industry practices and patterns.
  • Developing unit and integration test cases and executing them.
  • Develop the logical and physical database schema(s) and tuning the performance (efficient queries, batching, indexes, etc.).
  • Developing devops pipelines as needed for the application and deploying the applications.
  • Troubleshooting the problems, resolving them, and maintaining the application in production.
  • Documenting the architecture, designs, and APIs.

Skills:

  • Bachelor’s degree in a field such as Computer Science/Engineering or any other related stream.
  • Strong programming skills with proficiency in Java and Python and willingness to work on other languages in polyglot architecture as needed.
  • High business acumen in health care domain, Strong oral, written, and presentation skills
  • Ability to design enterprise architecture or convert the high-level architecture into low-level design and executing on it.
  • RESTful API Design and Development.
  • Hands-on working experience in Springboot 2.5.x and higher and ability to deploy the Springboot applications into AWS.
  • Developing applications using JDK 1.8+.
  • Test case writing in Junit and Mockito.
  • Provisioning AWS resources using Terraform scripts.
  • Strong experience using AWS Lambda, S3, STS, ECS/EKS on Fargate, Cloud Watch.
  • Experience in Agile SDLC and working knowledge of DevOps tools (Jenkins, Git, Docker and Jira).
  • Working experience of PostgreSQL database and performance tuning it.
  • Documenting the RESTful APIs using Swagger 2.x/3.x

Education:

  • Bachelor’s degree in a field such as Computer Science/Engineering.

Contact the recruiter working on this position:



The recruiter working on this position is Sandeep(Shaji Team) Maraganti
His/her contact number is
His/her contact email is sandeep.maraganti@msysinc.com

Our recruiters will be more than happy to help you to get this contract.