3–5 yrsBengaluruOn-siteDirect career pageEst. 14–22 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain enterprise-grade data management frameworks including data acquisition, cleaning, transformation, and workflow optimization.
- Design and implement financial analytics data pipelines and machine learning models including NLP, LLMs, and Retrieval-Augmented Generation techniques.
- Collaborate with cross-functional teams to deliver scalable data and ML solutions on cloud platforms following MLOps and CI/CD best practices.
Minimum Requirements
- 3-5 years of experience in data science, analytics, or statistical modelling roles.
- Master’s degree in Statistics, Mathematics, Computer Science with Data Science certification, or Engineering degree specializing in Data Science and AI.
- Strong proficiency in Python including libraries such as Pandas, NumPy, Scikit-learn; familiarity with deep learning frameworks like TensorFlow or PyTorch.
- Experience with cloud environments (AWS/Azure), MLOps practices, CI/CD pipelines, and data management tools.
Ideal Candidate Profile
- Experienced in building and deploying advanced machine learning and deep learning models specifically applied to financial analytics.
- Able to translate complex business data requirements into effective platform components and analytical workflows within cross-functional teams.
- Demonstrated ability to manage large, complex datasets and implement scalable cloud-based data science solutions using MLOps and CI/CD best practices.