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Associate Architect - Machine Learning

Quantiphi Analytics Solutions Private Limited · Mumbai, India

About this role

Quantiphi seeks an Associate Architect - Machine Learning to design solutions and build machine learning systems that predict and optimize client business outcomes. The posting requires 6+ years of experience and lists work locations as Bangalore, Mumbai and Trivandrum; the job page also lists Mumbai Eureka and Bengaluru. Quantiphi describes its work culture as hybrid.

Responsibilities

  • Develop high-level solution architectures and work with offshore big-data engineers and decision science analysts to build, test and assess models against client success criteria. Write code and build models for project requirements.
  • Interpret results and communicate actionable insights to clients. Understand stated and underlying client needs, mentor junior machine learning engineers, and coordinate with offshore delivery managers to maintain communication and delivery cadence.
  • Research sales opportunities, generate leads, and support target identification and classification.

Required qualifications and skills:

  • Hands-on statistical and analytical experience, including logistic regression, cluster analysis, factor analysis, multivariate regression, statistical modeling and predictive analysis.
  • Prior generative AI project work; hands-on experience with NLP use cases, LLMs, Python, PySpark and SQL.
  • Experience productionizing machine learning models and designing and managing end-to-end ML systems and data pipelines; hands-on experience with cloud services such as AWS.
  • Strong data-quality judgment, creative thinking, teamwork, independent contribution and client communication.

Preferred

Amazon SageMaker experience is a plus.

Skills for this role

Machine LearningSolution ArchitectureStatistical ModelingPredictive AnalyticsLogistic RegressionCluster AnalysisFactor AnalysisMultivariate RegressionGenerative AIPythonPySparkSQLNatural Language ProcessingLarge Language ModelsML Model ProductionizationData PipelinesAWSAmazon SageMakerClient CommunicationMentoring

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