Were looking for AI/ML Developers!
Salary: INR-/ year
Responsibilities
- Build experiment and productionise AI/ML solutions which deliver value to business and clients in close partnership with sales and trading
- Deploy / productionise MSS Data Science teams projects
- Build MLOps infrastructure to enable large-scale ML/DL model development training and deployment
- Build and optimize model inference integration backtesting frameworks. Working with data scientists and quants to onboard ML/DL/RL use cases
- Managing the delivery of multiple complex projects from design through to release. Understanding and contributing to the technical solution from design through to code
- Responsibility for ensuring that risks and issues are identified and managed closely to deliver on time and to the required quality standards whilst adhering to the SDLC
Eligibility
- This is an entry-level job
- Proficient in Python production development in enterprise environment
- Good experience with CI/CD pipelines (e.g. Jenkins) version control (Git) software testing and a solid understanding of DevOps methodologies
- Good experience of databases e.g. MongoDB RDBMS KDB
- Experience of MLOps frameworks e.g. MLFlow Kubeflow etc. Good experience of Cloud platforms e.g. GCP Azure
(*Note: This is a requirement for one of Scoutits clients)
Required Skills:
azuremlpython
Were looking for AI/ML Developers!Salary: INR-/ yearResponsibilitiesBuild experiment and productionise AI/ML solutions which deliver value to business and clients in close partnership with sales and tradingDeploy / productionise MSS Data Science teams projectsBuild MLOps infrastructure to enable lar...
Were looking for AI/ML Developers!
Salary: INR-/ year
Responsibilities
- Build experiment and productionise AI/ML solutions which deliver value to business and clients in close partnership with sales and trading
- Deploy / productionise MSS Data Science teams projects
- Build MLOps infrastructure to enable large-scale ML/DL model development training and deployment
- Build and optimize model inference integration backtesting frameworks. Working with data scientists and quants to onboard ML/DL/RL use cases
- Managing the delivery of multiple complex projects from design through to release. Understanding and contributing to the technical solution from design through to code
- Responsibility for ensuring that risks and issues are identified and managed closely to deliver on time and to the required quality standards whilst adhering to the SDLC
Eligibility
- This is an entry-level job
- Proficient in Python production development in enterprise environment
- Good experience with CI/CD pipelines (e.g. Jenkins) version control (Git) software testing and a solid understanding of DevOps methodologies
- Good experience of databases e.g. MongoDB RDBMS KDB
- Experience of MLOps frameworks e.g. MLFlow Kubeflow etc. Good experience of Cloud platforms e.g. GCP Azure
(*Note: This is a requirement for one of Scoutits clients)
Required Skills:
azuremlpython
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