Machine Learning Engineer

6 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

We’re Hiring: Machine Learning Engineer (Part-Time | Flexible Remote)


ML Engineer

own end-to-end ML pipelines


🔍 Role Overview:

candidate–project matching intelligence


🔧 Key Responsibilities:

  • Build data pipelines to ingest & preprocess applicant data (skills, assessments, feedback)
  • Engineer task-specific features and transformation logic
  • Train predictive models (logistic regression, XGBoost, etc.) on

    SageMaker

  • Automate batch ETL, retraining flows, and storage with

    AWS S3

  • Deploy inference endpoints with

    Lambda

    , and integrate with systems in production
  • Monitor model drift, performance, and feedback loops for continuous learning
  • Document architecture, workflows, and ensure explainability


✅ You’ll Need:

  • 4–6+ years in ML/AI engineering roles
  • Strong command of

    Python, scikit-learn, XGBoost

    , and

    feature engineering

  • Proven experience with

    AWS ML stack

    : SageMaker, Lambda, S3
  • Hands-on SQL/NoSQL and automated data workflows
  • Familiarity with CI/CD for ML (CodePipeline, CodeBuild, etc.)
  • Ability to independently own schema, features, and model delivery
  • Bachelor’s or Master’s in CS, Engineering, or related field


⭐ Bonus Points For:

  • NLP experience (extracting features from feedback/comments)
  • Familiarity with

    serverless architectures

  • Background in

    recruitment, talent platforms, or skills-matching system


  • Apply now or DM us to know more.

    #Hiring #MachineLearning #MLJobs #RemoteJobs #PartTime #AWS #HRTech #MLOps #AI #RecruitmentTech #SageMaker #FlexibleWork


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