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Machine Learning Engineer

5 years

0 Lacs

Posted:20 hours ago| Platform: Linkedin logo

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Remote

Job Type

Full Time

Job Description

Job Title: Machine Learning Engineer

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About the Role:

Machine Learning Engineer


Key Responsibilities:

  • Design, build, and optimize machine learning models for classification, regression, recommendation, and NLP tasks.
  • Collaborate with data scientists to transform prototypes into scalable, production-ready models.
  • Deploy, monitor, and maintain ML pipelines in production environments.
  • Perform data preprocessing, feature engineering, and selection from structured and unstructured data.
  • Implement model performance evaluation metrics and improve accuracy through iterative tuning.
  • Work with cloud platforms (AWS, Azure, GCP) and MLOps tools to manage model lifecycle.
  • Maintain clear documentation and collaborate cross-functionally across teams.
  • Stay updated with the latest ML/AI research and technologies to continuously enhance our solutions.


Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • 2–5 years of experience in ML model development and deployment.
  • Proficient in Python and libraries such as scikit-learn, TensorFlow, PyTorch, pandas, NumPy, etc.
  • Strong understanding of machine learning algorithms, statistical modeling, and data analysis.
  • Experience with building and maintaining ML pipelines using tools like MLflow, Kubeflow, or Airflow.
  • Familiarity with containerization (Docker), version control (Git), and CI/CD for ML models.
  • Experience with cloud services such as AWS SageMaker, GCP Vertex AI, or Azure ML.

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