Millops Engineer
2 weeks ago
Bengaluru, Karnataka, India
Job Type
Full Time
About the Role
Responsibilities
- Contribute to the industrialization of the ML & GenAI technical stacks of our AI Platform, by participating to their definition, architecture, development, test, documentation & maintenance phases
- Ensure the development process of this stack follows the DevSecOps recommendations & best practices
- Write ML pipelines to illustrate the AI Platform capabilities
- Contribute to the CI/CD workflows developments to automate the integration and deployment of the various ML assets (code or models) into the different environments
- Contribute to the definition of the LLMOps / MLOps operating model and make sure the AI Platform enforces this model
- Collaborate with our internal stakeholders to co-design the new features of the AI Platform
- Occasionally be embarked into one of our stakeholders teams to help them using the AI platform, write ML pipelines, and, in return, collect platform evolution needs
- Occasionally contribute to the collective effort of run & support for the AI Platform
Qualifications - External
Requirements and Skills
- 5+ years of experience in ML Engineering
- Strong knowledge on Machine Learning (including ML model management context) and GenAI technologies (including RAG)
- Previous hands-on experience on MLOps or LLMOps disciplines is mandatory
- Good knowledge of DevOps processes at scale and experience of production systems
- Rigorous mindset (but still open to changes), oriented towards customers, problems solving & results
- Good team player
- Autonomous
- Ideally, some knowledge of Energy Management and Automation market
- At ease in an international work environment & fluent in english
- Familiar with agile methodologies: Scrum, SAFe
- Technologies:
- Azure and/or AWS cloud technologies and their respective ML plateforms (AzureML, AWS SageMaker)
- Databricks
- Github, Terraform
- ML Tools such as MLFlow
- GenAI & LLM tools
Requirements
Responsibilities
Contribute to the industrialization of the ML & GenAI technical stacks of our AI Platform, by participating to their definition, architecture, development, test, documentation & maintenance phases
Ensure the development process of this stack follows the DevSecOps recommendations & best practices
Write ML pipelines to illustrate the AI Platform capabilities
Contribute to the CI/CD workflows developments to automate the integration and deployment of the various ML assets (code or models) into the different environments
Contribute to the definition of the LLMOps / MLOps operating model and make sure the AI Platform enforces this model
Collaborate with our internal stakeholders to co-design the new features of the AI Platform
Occasionally be embarked into one of our stakeholders teams to help them using the AI platform, write ML pipelines, and, in return, collect platform evolution needs
Occasionally contribute to the collective effort of run & support for the AI Platform
Qualifications - External
Requirements and Skills
5+ years of experience in ML Engineering
Strong knowledge on Machine Learning (including ML model management context) and GenAI technologies (including RAG)
Previous hands-on experience on MLOps or LLMOps disciplines is mandatory
Good knowledge of DevOps processes at scale and experience of production systems
Rigorous mindset (but still open to changes), oriented towards customers, problems solving & results
Good team player
Autonomous
Ideally, some knowledge of Energy Management and Automation market
At ease in an international work environment & fluent in english
Familiar with agile methodologies: Scrum, SAFe
Technologies:
Azure and/or AWS cloud technologies and their respective ML plateforms (AzureML, AWS SageMaker)
- Databricks
- Github, Terraform
- ML Tools such as MLFlow
- GenAI & LLM tools
About the Company
Cigres Technologies Private Limited is a technology consulting and services company that focuses on helping clients resolve their significant digital problems and enabling radical digital transformation using multiple technologies on premise or in the cloud. The company was founded with the goal of leveraging cutting-edge technology to deliver innovative solutions to clients across various industries.
