Engineer
Apply NowCompany: Tata Consultancy Services
Location: Strongsville, OH 44136
Description:
Skill: ML Ops Engineer
Must Have Technical/Functional Skills:
Roles & Responsibilities:
Salary Range - $100,000-$125,000 a year
#LI-NS2
Must Have Technical/Functional Skills:
- Big Data Hadoop, Data Science, Machine Learning models, MLOps.
- Hands on work on ML Ops , worked on feature store like Hopswork, Lifecycle or Tecton, Sagemaker Feature store.
Roles & Responsibilities:
- As ML Ops Engineer, you will work on ML Ops, feature store like Hopswork, Lifecycle or Tecton, Sagemaker Feature store.
- You will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models.
- You will help automate and streamline Model development and Model operations.
- You will build and maintain tools for deployment, monitoring, and operations.
- You will also troubleshoot and resolve issues in development, testing, and production environments.
- Enable Model tracking, model experimentation, Model automation.
- Develop scalable ML pipelines.
- Develop ML Ops components in Machine learning development life cycle using Model Repository (either of): ML Flow, Kubeflow Model Registry Machine Learning Services (either of): Kubeflow, Data Robot, Hops Works, Dataiku or any relevant ML E2E PaaS/SaaS.
- Work across all phases of Model development life cycle to build MLOPS components.
- Build the knowledge base required to deliver increasingly complex MLOPS projects on the Cloud(AWS, Azure, GCP)/On Prem.
- Be an integral part of client business development and delivery engagements across multiple domains.
Salary Range - $100,000-$125,000 a year
#LI-NS2