Senior AI/ML Engineer - R01570503
Brillio (company site, opens in a new tab)2–4 yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and develop advanced ML models using classic algorithms and deep learning for complex business problems with measurable improvements.
- Deploy and optimize AI/ML models on Google Cloud Platform ensuring scalability and integration using KubeFlow and BentoML.
- Conduct exploratory data analysis, apply advanced statistical and probabilistic methods to generate actionable insights and maintain data quality using frameworks like Great Expectations and Evidently AI.
Minimum Requirements
- 2 to 4 years of hands-on experience in AI/ML and data science roles.
- Proficiency in Python and SQL; experience with TensorFlow, PyTorch, Sci-Kit Learn, and other ML frameworks.
- Experience in statistical analysis (hypothesis testing, regression), classification techniques, forecasting methods, and probabilistic graph models.
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related discipline.
Ideal Candidate Profile
- Experienced in deploying and managing ML models at scale on cloud platforms, specifically Google Cloud with KubeFlow and BentoML.
- Strong applied knowledge of advanced statistical methods and forecasting techniques to support data-driven decisions.
- Familiarity with data quality assurance frameworks and capability to work with cross-functional teams to integrate AI solutions operationally.