3 hours ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, develop, optimize, and deploy classic machine learning and deep learning models for complex business challenges.
- Perform exploratory data analysis, hypothesis testing, regression, classification, forecasting, and probabilistic graph modeling.
- Deploy scalable AI/ML models on Google Cloud Platform and use Kubeflow and BentoML for orchestration, monitoring, and production operations.
- Collaborate with cross-functional teams to define data requirements, validate model outputs, and integrate AI solutions into existing workflows.
- Maintain data quality and model performance using Great Expectations, Evidently AI, and relevant metrics.
Requirements
- At least 2 to 4 years of hands-on experience in advanced data science, machine learning, and AI engineering roles.
- Proficiency in Python and SQL for data manipulation, analysis, and model development.
- Experience with machine learning algorithms, deep learning frameworks, statistical analysis, classification, forecasting, and probabilistic graph models.
- Experience with Kubeflow, BentoML, Great Expectations, and Evidently AI for model deployment, orchestration, monitoring, and data quality.
- Preferred qualifications include GenAI and agentic AI experience; PySpark, SAS, or SPSS; and R and RStudio for statistical modeling and visualization.
- A bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related discipline is desired.
- Preferred certifications include the TensorFlow Developer Certificate, Google Professional Machine Learning Engineer, or Google Cloud Certified Professional Data Engineer.
Tech Stack
Categories
About Brillio
Brillio is a privately held digital engineering and enterprise AI services firm that helps Fortune 1000 companies modernize products, data, and infrastructure. It combines consulting and managed services with an accelerator platform (ADAM) across cloud, AI, data engineering, customer experience, and infrastructure workstreams. Founded in 2014 and headquartered in Dallas, it operates delivery centers across North America, Europe, and Asia, with focus areas that include healthcare and life sciences.