Posted:17 hours ago|
Platform:
Work from Office
Full Time
As a Core ML Engineer you will be responsible for designing, developing, and deploying machine learning models that solve complex problems and enhance our product offerings. You will collaborate with cross-functional teams to integrate ML solutions into our systems and ensure their scalability and performance. Key Responsibilities: Design and implement machine learning models using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn). Deploy and manage ML models on AWS infrastructure, utilizing services like SageMaker, EC2, and Lambda. Collaborate with data scientists and engineers to preprocess data and optimize model performance. Develop and maintain automated pipelines for model training, evaluation, and deployment. Monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency. Stay up-to-date with the latest advancements in machine learning and AI technologies. Document processes and methodologies to ensure reproducibility and knowledge sharing. Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience. Proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with AWS services for deploying and managing ML models. Solid understanding of machine learning algorithms and techniques. Familiarity with data preprocessing and feature engineering. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.
JPMorgan Chase Bank
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