Senior Model Automation Engineer
WSP (company site, opens in a new tab)NoidaHybridDirect career pageEst. 18–28 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Support Chief Modelling Engineer to enhance model operation workflows including data collection, HPC computing, and model development principles.
- Design, implement, and maintain automation routines for modelling workflows, including data workflows, quality assurance, API data extraction, HPC job configuration, and workflow monitoring.
- Develop internal tools for version control, continuous integration, testing, and build dashboards for performance monitoring; integrate LLM components into workflows for automation and summarization.
Minimum Requirements
- Bachelor's and/or Master's degree in computer science, software engineering, data science, or related quantitative field.
- Experience managing large databases and data pipelines using SQL and at least one NoSQL technology.
- Proficiency in automation tools and scripting (Python, shell scripting, R) and experience with HPC/cluster computing and parallel processing.
- Experience with API-based data extraction, Git/GitHub workflows, and visualization tools like Power BI. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in large-scale energy, environmental, or economic modelling automation and data management workflows.
- Skilled at operating and configuring HPC or cluster environments for running complex simulations and batch jobs.
- Comfortable working collaboratively with modelling and data science teams to apply automation, use LLM tools, and ensure best practices in workflow orchestration.