Senior AI/ML Engineer - R01571293
Brillio (company site, opens in a new tab)2–4 yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy advanced machine learning models using classic and deep learning methods to solve complex business problems.
- Conduct exploratory data analysis and statistical methods to extract insights and support model accuracy and forecasting.
- Implement, optimize, and manage AI/ML models on Google Cloud Platform using tools like KubeFlow and BentoML to ensure scalable and reliable production deployments.
Minimum Requirements
- 2 to 4 years of hands-on experience in machine learning, data science, or AI engineering roles.
- Proficiency in Python and SQL; experience with TensorFlow, PyTorch, Sci-Kit Learn or similar ML frameworks.
- Experience with statistical analysis methods including hypothesis testing, regression, classification techniques, and forecasting (exponential smoothing, ARIMA, ARIMAX).
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or closely related field.
Ideal Candidate Profile
- Experienced in end-to-end ML model development and deployment on Google Cloud Platform in production environments.
- Familiar with advanced statistical and probabilistic modeling approaches, including probabilistic graph models and performance monitoring frameworks.
- Capable of collaborating with cross-functional teams to integrate AI solutions with business workflows, ensuring measurable impact and operational robustness.