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Randstad Sourceright

ML Engineer

Randstad Sourceright
Ahmedabad, India
5-7 Years
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  • Posted 22 hours ago
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Job Description

Position: ML Engineer (CE50SF RM 4206)

Shift timing : 02 PM to 10 PM

Work Mode : Work From Office

Required Industry Experience : 5+ years of total development experience

Relevant Experience required : 2.5+ years of relevant Gen AI experience

Education Required: Bachelor's / Masters / PhD: Bachelor's degree in engineering

Must Have Skills

  • Python for ML
  • Scikit-learn, PySpark
  • Supervised Learning – Logistic Regression, Random Forest, XGBoost/LightGBM/CatBoost, calibration
  • Unsupervised Learning & Anomaly Detection, Imbalanced Data Techniques – Class weighting, focal loss, threshold tuning, cost-sensitive learning
  • Model Evaluation & Calibration, Statistics & Probability
  • Drift Monitoring – Data drift, concept drift, PSI, KL divergence, model performance monitoring, retraining strategies
  • ML Architecture Design – End-to-end pipelines
  • Databricks – Notebooks, Delta Lake, Jobs, Workflows, Feature Store, MLflow integration, Unity Catalog, MLOps Fundamentals

Good To Have Skills

  • Experience in Azure
  • Deep Learning – PyTorch / TensorFlow, sequence models (LSTM/Transformers) for fraud detection
  • Git-based workflows (branching, pull requests, code reviews) and Agile/Scrum delivery

Any Special Or Skills Related Notes

  • Hands-on and accountable for delivering working, supportable solutions
  • Clear communicator who can translate between business needs and technical implementation
  • Quality-focused (testing, monitoring, documentation) with attention to reliability and maintainability
  • Calm under pressure when responding to incidents and prioritizing production work
  • Ownership & accountability across the full ML lifecycle
  • Mentoring other team members / knowledge sharing

Role focus: Core ML modelling

Key responsibilities

  • Design ML architecture (feature store, training pipelines, scoring)
  • Build:
  • Supervised diversion-risk model
  • Unsupervised anomaly detection model
  • Model evaluation, calibration, and drift monitoring
  • Define reusable feature engineering framework
  • Design response schema:
  • Risk score
  • Explainability layer

Required Skills

  • Strong Python (scikit-learn, PySpark)
  • Experience with anomaly detection techniques
  • Experience with imbalanced datasets (fraud/risk domains preferred)
  • Knowledge of MLOps (Databricks preferred)

  • More Info

    Job Type:
    Permanent Job
    Industry:
    Other
    Function:
    Machine Learning
    Employment Type:
    Full time

    Job ID: 150853611

    Jobs by Skill - IT
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    Last Updated: 07-07-2026 07:02:38 AM
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