Machine Learning Engineer - Next-Gen AI Solutions

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Requirements:

• Familiarity with MLOps practices and tools like MLflow, Kubeflow, or TFX
• Experience with NLP, computer vision, or time-series analysis
• Knowledge of Docker and Kubernetes
• Bachelor’s or Master’s degree in a related field
• Proven experience (2+ years) in developing machine learning models
• Proficiency in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn
• Expertise in large datasets using SQL and libraries like Pandas and NumPy
• Experience with AWS, Azure, or GCP
• Proficient in Git

Responsibilities:

• Design, develop, and implement machine learning models and algorithms
• Preprocess and analyze large datasets
• Optimize and deploy machine learning models into production
• Collaborate with cross-functional teams
• Monitor and improve model performance
• Stay updated with advancements in machine learning
• Document methodologies and processes