Senior AIML Engineer R

Brillio

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profile Job Location:

Bangalore - India

profile Monthly Salary: Not Disclosed
Posted on: 10 days ago
Vacancies: 1 Vacancy

Job Summary

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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Senior IC

Senior AI/ML EngineerPrimary SkillsHypothesis 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) Classificatio...
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Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.

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