19 Job openings found

1 Opening(s)
6.0 Year(s) To 14.0 Year(s)
Not Disclosed by Recruiter
Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 3.5 - 7 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product ...
1 Opening(s)
5.0 Year(s) To 7.0 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, ...
1 Opening(s)
4.0 Year(s) To 7.0 Year(s)
8.00 LPA TO 20.00 LPA
Overall Responsibilities Design, develop, deploy, and optimize MLOps pipelines Monitor and troubleshoot existing data and model pipelines to identify performance bottlenecks Collaborate with Dagster engineers, AWS Cloud engineers, and other AI/ML experts to enhance infrastructure support for AI/ML workloads Technical Responsibilities Implement automated model retraining pipelines with SageMaker Pipelines. Optimize feature engineering, data ingestion, and preprocessing ...
1 Opening(s)
4.0 Year(s) To 6.0 Year(s)
10.00 LPA TO 20.00 LPA
Job Role Position: Dagster Developer (Data & ML Pipeline Orchestration Engineer) Summary The Dagster Developer will be responsible for designing, optimizing, and maintaining orchestration workflows for AI/ML pipelines using Dagster on AWS. The role requires strong experience in workflow automation, monitoring, and performance optimization. Key Responsibilities • Overall Responsibilities •Develop, deploy, and optimize Dagster-based orchestration pipelines •Monitor and troubleshoot ...
1 Opening(s)
4.0 Year(s) To 8.0 Year(s)
16.00 LPA TO 25.00 LPA
The Terraform Developer will be responsible for managing AWS infrastructure using Terraform, ensuring scalability, security, and cost-efficiency. The role includes automating cloud infrastructure provisioning, optimizing existing Infrastructure as Code (IaC) setups, and ensuring best practices for security and compliance. Key Responsibilities Overall Responsibilities • Develop, optimize, and maintain Terraform scripts ...
1 Opening(s)
10.0 Year(s) To 15.0 Year(s)
20.00 LPA TO 30.00 LPA
Technical Lead Our engineering team is growing and we are looking to bring on board a Technical Lead who can help us transition to the next phase of the company. You will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other. A ...
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 ...
1 Opening(s)
15.0 Year(s) To 20.0 Year(s)
70.00 LPA TO 80.00 LPA
Job Title- Principal Data Engineer We are building a rockstar team to help us push the frontiers of AI. Company AI Labs is bringing together the brightest talents in the world to integrate AI into the DNA of each business inside and outside ofCompany. With Company’s presence across Energy, Airport, Port & ...

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