Brillio 2

Senior AI/ML Engineer - R01563569

Bangalore, Karnataka, India April 15, 2026 Lever
Senior AI/ML Engineer
Senior AI/ML Engineer

Primary Skills

  • Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio

    • Specialization

  • Data Science Advanced: Data Specialist

    • Job requirements

  • Key Responsibilities • Design, implement, and manage scalable machine learning (ML) pipelines using Azure ML, Databricks, and PySpark. • Build and maintain automated CI/CD pipelines with Github and Github Action, incorporating SonarQube to ensure code quality and security standards. • Utilize Azure Kubernetes Service (AKS) to containerize and deploy machine learning models, ensuring high availability and scalability. • Have understanding of over all architecture and can work on scalable solutions • Develop reusable templates for various ML use cases to streamline the model deployment process and enhance operational efficiency. • Design and manage APIs to facilitate seamless interaction between ML models and other applications, ensuring robust, secure, and scalable API interfaces. • Perform model optimization, monitor data drift, data refresh checks, and ensure the ML pipelines are cost-efficient. • Implement cost monitoring and management strategies to ensure efficient use of resources, particularly for model training and deployment phases. • Work closely with data scientists, DevOps, and IT teams to deploy and manage machine learning models across environments. • Provide thorough documentation for ML workflows, pipeline templates, and optimization strategies to support cross-team collaboration.
    • Apply on company site

    How to Get Hired at Brillio 2

    • Tailor your resume for each Brillio role by matching the exact technology keywords from the job description — Azure Data Factory, Microsoft Fabric, Power BI, Snowflake, and PySpark appear across many current openings, and Lever's search algorithms rely on precise keyword matches.
    • Position yourself as a consultant, not just a technician — highlight client-facing experience, stakeholder communication, and business outcome delivery in your resume and interview responses, since Brillio's model demands both technical depth and consulting soft skills.
    Read the full guide

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