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5 days ago
- Design and implement end-to-end machine learning pipelines on AWS.
- Collaborate with data scientists to translate models and algorithms into production-ready code.
- Manage the entire machine learning lifecycle, including data ingestion, model training, validation, and deployment.
- Implement best practices in MLOps to automate workflows and ensure model performance and reliability.
- Optimize ML models for performance, scalability, and efficiency on the cloud platform.
- Monitor and troubleshoot deployed models to ensure they meet performance and business requirements.
A strong computer science background is essential, as well as 3+ years of experience in a machine learning or data science role. Proficiency in Python and standard ML libraries is required.
Requirements- Experience with AWS services.
- Strong problem-solving skills.
- Excellent communication skills.
Benefits: A dynamic work environment, opportunities for growth and development, and a chance to work on cutting-edge projects.
Why This Role? As a Machine Learning Engineer, you will be at the forefront of innovation, working on complex problems that require creative solutions. You will have the opportunity to collaborate with a talented team of professionals and contribute to the development of AI-powered solutions.
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