# Senior AI/ML Engineer - R01571293 at Brillio

Senior AI/ML Engineer - R01571293 at Brillio in Bangalore, Karnataka, India. Posted September 16, 2026.

- Company: Brillio
- Location: Bangalore, Karnataka, India
- Experience: 2+ years
- Posted: 2026-09-16
- Apply: https://jobs.lever.co/brillio-2/10aa7b0a-40cc-4f67-98dd-4d86d817281c/apply
- Source: https://jobmagic.ai/jobs/senior-aiml-engineer-r01571293-brillio-tw594d

## Requirements

- Design and develop advanced machine learning models using classic algorithms and deep learning techniques to address complex business challenges and deliver measurable improvements
- Conduct comprehensive exploratory data analysis (EDA) and statistical analysis, including hypothesis testing, regression, and classification, to extract actionable insights from large datasets
- Implement, optimize, and deploy AI/ML models on Google Cloud Platform (GCP), ensuring scalability, reliability, and efficient integration into production environments
- Collaborate with cross-functional teams to define data requirements, validate model outputs, and integrate AI solutions seamlessly into existing workflows
- Utilize KubeFlow and BentoML for efficient model orchestration, deployment, and monitoring, ensuring robust operational performance
- Perform rigorous forecasting using methods such as exponential smoothing, ARIMA, and ARIMAX to support data-driven business planning
- Apply probabilistic graph models and advanced statistical methods to enhance predictive accuracy and interpretability of AI solutions
- Maintain high standards for data quality and model performance using frameworks like Great Expectations and Evidently AI, tracking key metrics and outcomes
- Proficiency in Python and SQL for data manipulation, analysis, and model development
- Hands-on experience with classic machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet
- Expertise in statistical analysis including hypothesis testing, T-Test, Z-Test, and regression (linear, logistic)
- Experience with classification techniques such as decision trees and support vector machines (SVM)
- Knowledge of forecasting methods including exponential smoothing, ARIMA, and ARIMAX
- Ability to implement and interpret probabilistic graph models
- Familiarity with tools for model deployment and orchestration such as KubeFlow and BentoML

## Description

**Senior AI/ML Engineer**

### Job requirements

**Experience Range:** With at least 2 to 4 years of hands-on experience in advanced data science, machine learning, and AI engineering roles **Key Responsibilities:**
- Design and develop advanced machine learning models using classic algorithms and deep learning techniques to address complex business challenges and deliver measurable improvements

- Conduct comprehensive exploratory data analysis (EDA) and statistical analysis, including hypothesis testing, regression, and classification, to extract actionable insights from large datasets

- Implement, optimize, and deploy AI/ML models on Google Cloud Platform (GCP), ensuring scalability, reliability, and efficient integration into production environments

- Collaborate with cross-functional teams to define data requirements, validate model outputs, and integrate AI solutions seamlessly into existing workflows

- Utilize KubeFlow and BentoML for efficient model orchestration, deployment, and monitoring, ensuring robust operational performance

- Perform rigorous forecasting using methods such as exponential smoothing, ARIMA, and ARIMAX to support data-driven business planning

- Apply probabilistic graph models and advanced statistical methods to enhance predictive accuracy and interpretability of AI solutions

- Maintain high standards for data quality and model performance using frameworks like Great Expectations and Evidently AI, tracking key metrics and outcomes
**Required Skills:**
- Proficiency in Python and SQL for data manipulation, analysis, and model development

- Hands-on experience with classic machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet

- Expertise in statistical analysis including hypothesis testing, T-Test, Z-Test, and regression (linear, logistic)

- Experience with classification techniques such as decision trees and support vector machines (SVM)

- Knowledge of forecasting methods including exponential smoothing, ARIMA, and ARIMAX

- Ability to implement and interpret probabilistic graph models

- Familiarity with tools for model deployment and orchestration such as KubeFlow and BentoML

- Competence in computing and analyzing distance metrics (Hamming, Euclidean, Manhattan)

- Experience with data quality frameworks such as Great Expectations and Evidently AI
**Preferred Skills:**
- Experience with GenAI and Agentic AI technologies

- Hands-on expertise with PySpark, SAS, or SPSS for large-scale statistical computing

- Proficiency in R and R Studio for statistical modeling and data visualization
**Desired Qualifications:**
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related discipline

- Certification in machine learning or data science from recognized platforms such as TensorFlow Developer Certificate or Google Professional Machine Learning Engineer

- Certification in cloud technologies, for example Google Cloud Certified - Professional Data Engineer