Senior AI/ML Engineer - R01571293

Brillio
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2-4 yearsEducation: bachelorsSkills: []

Design, develop, and deploy advanced machine learning models to solve complex business problems. Lead exploratory and statistical analysis (including hypothesis testing, regression, and classification) and implement scalable AI/ML solutions on Google Cloud Platform for production use. Orchestrate and monitor models with KubeFlow and BentoML, perform forecasting with ARIMA/ARIMAX and exponential smoothing, and use probabilistic graph models to improve interpretability while maintaining model quality with Great Expectations and Evidently AI.

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FursaFursa
Brillio
Brillio
3 days ago

Senior AI/ML Engineer - R01571293

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Design, develop, and deploy advanced machine learning models to solve complex business problems. Lead exploratory and statistical analysis (including hypothesis testing, regression, and classification) and implement scalable AI/ML solutions on Google Cloud Platform for production use. Orchestrate and monitor models with KubeFlow and BentoML, perform forecasting with ARIMA/ARIMAX and exponential smoothing, and use probabilistic graph models to improve interpretability while maintaining model quality with Great Expectations and Evidently AI.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and develop advanced machine learning models using classic algorithms and deep learning techniques to address business challenges.
  • •Perform exploratory data analysis and statistical analysis (hypothesis testing, regression, classification) to extract actionable insights.
  • •Implement, optimize, and deploy AI/ML models on Google Cloud Platform with scalability, reliability, and production integration.
  • •Collaborate with cross-functional teams to define data requirements, validate model outputs, and integrate AI solutions into workflows.
  • •Use KubeFlow and BentoML to orchestrate, deploy, and monitor models; maintain data quality and model performance with Great Expectations and Evidently AI.

Key Requirements

  • •2–4 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.
  • •Hands-on experience with classic machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet.
  • •Expertise in statistical analysis (including hypothesis testing and regression) and classification techniques (decision trees and SVM).
  • •Ability to implement and deploy AI/ML models on Google Cloud Platform and use KubeFlow and BentoML for orchestration and monitoring.
Experience:2-4 years
Education:Bachelor's in Computer Science, Data Science, Statistics, Mathematics (or a closely related discipline)
Certifications:TensorFlow Developer CertificateGoogle Professional Machine Learning EngineerGoogle Cloud Certified - Professional Data Engineer
Tech Stack:PythonSQLGoogle Cloud Platform (GCP)TensorFlowPyTorchSci-Kit LearnCNTKKerasMXNetKubeFlowBentoMLGreat ExpectationsEvidently AIPySparkSASSPSSRR Studio

Company Brief

Brillio
Provides digital transformation and IT consulting services, including cloud migration, analytics, digital engineering, and managed services to accelerate business outcomes for enterprises across industries.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Santa Clara, United States
Founded: 2014
WebsiteLinkedIn