MLOps Engineer - Credit Risk Modeling

Exp : 5 to 10 yearsLocation : Gurugram/Bangalore/PuneNotice : Immediate to 30 days..!!Roles & responsibilities : - 3+ years exp on Python, ML Ops- Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development : Design, build, and implement credit risk model.- Contribute to how analytical approach is structured for specification of analysis- Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems- 3+ years exp on ML/Python (predictive modelling).- Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business.- Create experiments and prototype implementations of new learning algorithms and prediction techniques- Collaborate with product managers, and stockholders to design and implement software solutions for science problems- Use machine learning best practices to ensure a high standard of quality for all of the team deliverables- Has experience working on unstructured data ( text ) : Text cleaning, TFIDF, text vectorization- Hands-on experience with IFRS 9 models and regulations.- Data Analysis : Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity.- Statistical Analysis : Utilize advanced statistical methods to build robust models, leveraging expertise in R programming.- Collaboration : Work closely with data scientists, business analysts, and other stakeholders to align models with business needs.- Continuous Improvement : Stay updated with the latest methodologies and tools in credit risk modeling and R programming. (ref:hirist.tech)