14 Job openings found

1 Opening(s)
4.0 Year(s) To 7.0 Year(s)
5.00 LPA TO 20.00 LPA
Proficiency with python and the python ML tool kit along with DL frameworks Experience with working on end to end solutions and comfortable with cloud based ML-Ops pipelines Experience fine-tuning deep learning models including LLMs Experience with GPUs and understanding of balancing costs at both training and inference Comfortable in deploying end to end ...
1 Opening(s)
4.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Work Experience Four years experience designing, developing, and maintaining software, including three years CRM experience related to duties and responsibilities preferred. Microsoft Dynamics CRM development required. Experience with any combination of following required: Dynamics 365 Plugin Development (C#/.NET), JavaScript, Power Apps Component Framework (PCF), PowerBI, D365 Software Development Kit (SDK)/.NET development, Microsoft Office ...
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 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 ...

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