AI/ML Engineer

Position Name:

Experience Required:

Job Overview

Machine Learning Engineer

Key Responsibilities

• Design and implement ML models (classification, regression, clustering, recommendation, NLP, time series).
• Collaborate with data scientists, engineers, product managers, and stakeholders to deliver solutions.
• Process and analyze large datasets using

  Python, Pandas, NumPy, SQL

  .
• Deploy and monitor ML models in production using

  AWS, GCP, or Azure

  , and tools like

  Docker/Kubernetes

  .
• Optimize and retrain models based on performance feedback and drift detection.
• Write clean, efficient, testable code with proper documentation.
• Stay up to date with the latest in

  machine learning, deep learning, and AI technologies

  .

Required Qualifications

• 3+ years

  experience developing and deploying ML models in production.
• Proficiency in

  Python

  and ML libraries (

  scikit-learn, TensorFlow, PyTorch

  ).
• Strong knowledge of

  data preprocessing, feature engineering, model evaluation, hyperparameter tuning

  .
• Experience with

  cloud services (AWS, GCP, Azure)

  .
• Experience with

  Git, CI/CD pipelines, Agile development

  .
• Familiarity with

  software engineering principles, API development, and MLOps practices

  .