2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
BASIC PURPOSE:
The primary responsibilities of the AWS Machine Learning Engineer are to design, develop and deploy Machine learning models using AI/ML technologies within the AWS framework. This role will collaborate closely with the product and software development teams to operationalize these ML solutions for automating key business processes across the ...
2 Opening(s)
4.0 Year(s) To 8.0 Year(s)
0.00 LPA TO 15.00 LPA
Job Profile - MLOps Engineer
Location - Bangalore
Type - Permanent Full Time
Experience - 5 to 7 years
Key Skiils - Artifactory Register, Terraform, GCP, CI/CD, Containerization
Job Description
Mandatory Experience in Terraform, GCP infrastructure, CI/CD deployment, Artifactory registry and containerization
Design, build applications using containerization and orchestration with Docker and Kubernetes and cloud platforms.
Demonstrated experience with containerization, ...
6 Opening(s)
14.0 Year(s) To 18.0 Year(s)
40.00 LPA TO 50.00 LPA
JOB DESCRIPTION :
Below mentioned is the JD for the same :
Minimum 14 years of experience in software development. (14 – 18 years)
Experience in Advanced C#, .Net Framework 4.0 or later, WPF, WCF, MVVM/PRISM, Dependency Injection, Unit Test Framework, Web stack is a must
Experience in AWS – EC2, Container, Lambda, S3, ...
6 Opening(s)
3.5 Year(s) To 5.4 Year(s)
12.00 LPA TO 16.00 LPA
Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. ...
4 Opening(s)
5.5 Year(s) To 7.5 Year(s)
11.00 LPA TO 15.00 LPA
Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. ...
3 Opening(s)
5.0 Year(s) To 8.0 Year(s)
13.00 LPA TO 16.00 LPA
Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. ...
1 Opening(s)
7.0 Year(s) To 20.0 Year(s)
30.00 LPA TO 40.00 LPA
Lead the design, development, and deployment of machine learning models and algorithms to solve complex business problems. ● Oversee the end-to-end machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment. ● Utilize AWS SageMaker to build, train, and deploy machine learning models. ● Leverage AWS Bedrock to develop ...