
Advanced AI Developer
5 days ago
We seek a seasoned expert to spearhead the design, development, and deployment of cutting-edge machine learning models in a production environment.
Key Responsibilities- Design and implement end-to-end machine learning pipelines on AWS SageMaker, ensuring scalability and real business value.
- Collaborate with data scientists to translate models and algorithms into production-ready code, driving innovation and excellence.
- Manage the entire machine learning lifecycle, from data ingestion to model training, validation, and deployment, with emphasis on MLOps best practices.
- Implement automation workflows to ensure model performance and reliability, leveraging expertise in containerization technologies like Docker.
- Optimize ML models for performance, scalability, and cost efficiency on the AWS platform, staying abreast of the latest advancements.
- Monitor and troubleshoot deployed models to ensure they meet performance and business requirements, fostering a culture of collaboration and problem-solving.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in a machine learning or data science role, with hands-on expertise in AWS services and Python.
- Proficiency in standard ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) and solid understanding of MLOps principles and tools.
- Experience with big data technologies (e.g., Spark, Hadoop) and strong problem-solving skills, with ability to work in a collaborative environment.
This is an exceptional opportunity for a talented professional to make a significant impact in a dynamic environment.
Other OpportunitiesOur team offers a collaborative and innovative work environment that fosters growth and development.
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