Responsibilities:
- Design AI/ML pipelines and engineering infrastructure to support internal and external machine learning systems at scale.
- Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. (inc. data drift, model retraining, setting up rollbacks)
- Deploy AI/ML models, optimizing algorithm and system efficiency through GPU distributed computing and concurrent programming.
- Create reusable libraries/ microservices, deploy machine learning ecosystems, and integrate subsystems as necessary.
- Stay updated with the latest trends and technologies in AI/ML, GenAI, MLOps and LLMOps to drive innovation and system enhancements.
Requirements:
- Experience building scalable machine learning system architectures (microservice, distributed, etc.) and big-data pipelines in production.
- Knowledge in the operationalization of Data Science projects (MLOps) using at least one mainstream framework or platform.
- Deep understanding and application of various machine learning and evaluation concepts, their mathematical underpinnings, and trade-offs.
- Exceptional programming skills in Python (Or demonstrable ability to pick up new languages) and SQL variants, with knowledge of design patterns, code optimization, and object-oriented design.
- Familiarity with software development best practices and tools such as Agile methodologies, Jira, Jenkins, and Git.
Kindly indicate 106 – MLOps Engineer
Interested applicants may send in their detailed resumes in MS Word to Meme @ [email protected]
IT Consultancy & Services Pte Ltd
EA No: 92C5311 | EA Reg No. R23116792 | www.itcspl.com
