ML Engineer

Roles and Responsibilities :

• Design, develop, and deploy machine learning models using Python and various libraries such as scikit-learn, TensorFlow, PyTorch.
• Collaborate with cross-functional teams to integrate ML solutions into existing systems and applications.
• Conduct data analysis, feature engineering, and model evaluation to improve system performance.
• Troubleshoot issues related to ML model deployment on cloud platforms like AWS SageMaker.

Job Requirements :

• 3-8.5 years of experience in Machine Learning Engineering or a related field.
• Strong proficiency in programming languages such as Python and familiarity with popular ML frameworks like scikit-learn, TensorFlow, PyTorch.
• Experience working with deep learning techniques including neural networks and natural language processing (NLP).
• Knowledge of cloud computing platforms like AWS SageMaker for deploying ML models.