Senior AI/ML Engineer - R01570503

Brillio 2; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Brillio in Bengaluru seeks a Senior AI/ML Engineer to design, develop, and deploy production-grade ML models addressing complex business challenges.

The role emphasizes collaboration with cross-functional teams and practical implementation of AI solutions on Google Cloud, using Python, SQL, and modern ML frameworks.

Qualifications

• Hands-on experience with machine learning and AI in production environments.

Responsibilities

• Design and develop advanced ML models to address business challenges.

Skills

Python

SQL

TensorFlow

PyTorch

scikit-learn

Keras

Statistics

ARIMA/ARIMAX

GCP

MLOps

Distance metrics

Education

Bachelor's in CS/DS/Math

Tools

KubeFlow

BentoML

Job description

Senior AI/ML Engineer

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 analysing 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 recognised platforms such as TensorFlow Developer Certificate or Google Professional Machine Learning Engineer
• Certification in cloud technologies, for example Google Cloud Certified - Professional Data Engineer