Senior AI Model Developer

1 week ago


dindigul, India beBeeMachineLearning Full time

The Senior Machine Learning Engineer will design and deploy machine learning models in live production environments. Key requirements include 5+ years of hands-on experience with ML frameworks like Scikit-learn, TensorFlow, or PyTorch. Additionally, strong data manipulation and analysis skills using Pandas and NumPy are necessary. Data visualization with Matplotlib and Seaborn is also required. A solid understanding of supervised, unsupervised, and deep learning techniques is essential. The ideal candidate should have experience performing end-to-end data analytics, including data cleaning, trend analysis, reporting, and insight generation.Key ResponsibilitiesDevelop and implement machine learning models in live production environments.Implement data manipulation and analysis using Pandas and NumPy.Visualize data using Matplotlib and Seaborn.Perform end-to-end data analytics, including data cleaning, trend analysis, reporting, and insight generation.Advanced Technical Skills:Familiarity with MLOps tools like MLflow or Kubeflow.Experience working with cloud services (AWS, GCP, or Azure) for model development and deployment.Proficiency with version control systems (Git) and CI/CD practices for ML pipelines.


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