Senior AI/ML Engineer

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

Design and develop advanced ML models—combining classic algorithms and deep learning—to solve complex business problems. Lead exploratory and statistical analysis to derive actionable insights, then implement, optimize, and deploy models on Google Cloud Platform for production scalability. Orchestrate deployment with Kubeflow and BentoML, monitor model performance using Great Expectations and Evidently AI, and support forecasting with methods like exponential smoothing and ARIMA/ARIMAX.

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FursaFursa
Brillio
Brillio
3 days ago

Senior AI/ML Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Design and develop advanced ML models—combining classic algorithms and deep learning—to solve complex business problems. Lead exploratory and statistical analysis to derive actionable insights, then implement, optimize, and deploy models on Google Cloud Platform for production scalability. Orchestrate deployment with Kubeflow and BentoML, monitor model performance using Great Expectations and Evidently AI, and support forecasting with methods like exponential smoothing and ARIMA/ARIMAX.
Location: Bengaluru, Karnataka, India
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

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

Key Requirements

  • •2 to 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 ML algorithms and deep learning frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, or MXNet.
  • •Experience with statistical analysis and modeling, including hypothesis testing and regression/classification techniques.
  • •Ability to implement and interpret forecasting and probabilistic graph models, and deploy models using Kubeflow and BentoML.
Experience:2-4 years
Education:Bachelor's in Computer Science, Data Science, Statistics, Mathematics
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