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.