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ML Engineer

E-Solutions

 

United States

Posted On: 13 days ago
Experience: 4+ years
Availability: Remote
Openings: 1
Category: ML Engineer
Tenure: Full-time Only
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Description

You will lead the end-to-end design, development, and deployment of predictive modeling solutions.

This role is remote.

Responsibilities

  • Design and develop predictive modeling solutions from end to end.
  • Productionize machine learning models within CI/CD and MLOps/LLMOps pipelines.
  • Consult directly with customers to implement machine learning solutions.
  • Troubleshoot and solve complex technical problems during model deployment.

Required Skills

  • 4+ years of hands-on experience building and productionizing machine learning models.
  • 4+ years of experience in Machine Learning, CI/CD, MLOps, and LLMOps.
  • 3+ years of experience in customer-facing consulting roles.
  • Proficiency in Python and PySpark.
  • Strong knowledge of NumPy, Pandas, Scikit-learn, and Jupyter.
  • Advanced SQL skills with SQL Server and Spark.
  • Experience with supervised, unsupervised, deep learning, and Artificial Neural Network algorithms.
  • Experience using Kubernetes or similar orchestration systems.
  • Knowledge of Apache Spark programming and scalable machine learning.

Preferred Skills

  • Experience with distributed computing frameworks like Hadoop.
  • Experience with cloud platforms such as Azure or AWS.
  • Familiarity with data visualization tools including PowerBI, Tableau, or R Shiny.

Education

Any Gradute

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