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  • Posted 5 days ago
  • Over 100 applicants have applied

Job Description

About The Opportunity

A fast-moving, innovation-driven organization in the Enterprise AI & Machine Learning sector, we build and deploy scalable ML-powered solutions that drive automation, predictive analytics, and intelligent decision-making across industries. Our ML Engineers work at the intersection of algorithmic rigor and real-world product impact—transforming raw data into high-accuracy, production-grade models used by thousands of users daily. Role & Responsibilities

  • Design, train, and deploy machine learning models—classification, regression, clustering—for live business use cases across domains.
  • Build and optimize end-to-end ML pipelines: data ingestion ➜ feature engineering ➜ model training ➜ inference ➜ monitoring.
  • Collaborate with data engineers to integrate ML models into scalable cloud infrastructure (AWS/GCP/Azure).
  • Implement and evaluate model performance using metrics such as precision, recall, F1-score, AUC-ROC, and business-specific KPIs.
  • Develop model explainability and fairness tooling to support auditability and stakeholder trust.
  • Automate retraining, drift detection, and model versioning using CI/CD workflows and MLOps best practices.

Skills & Qualifications

Must-Have

  • Python
  • Scikit-learn
  • Pandas
  • NumPy
  • TensorFlow
  • PyTorch
  • MLflow
  • Git

Preferred

  • Experience with Hugging Face Transformers
  • Familiarity with AWS SageMaker or GCP Vertex AI
  • Knowledge of XGBoost / LightGBM / CatBoost

Benefits & Culture Highlights

  • Opportunity to work on high-impact, customer-facing AI/ML products with measurable ROI.
  • Collaborative, feedback-rich environment with mentorship from senior ML architects.
  • On-site culture with flexible core hours, team lunches, and quarterly hackathons.

Skills: learning,ml,machine learning,data,aws

More Info

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Job ID: 151526801

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