Cloud-Based Machine Learning Leader for LatamCent
hace 6 días
We are looking for a highly skilled and experienced Machine Learning Lead to join our team at LatamCent. The ideal candidate will have a robust background in machine learning, with a particular focus on AWS SageMaker, AWS Bedrock, and generative AI solutions. This role involves leading a team of data scientists and machine learning engineers to develop and implement advanced ML models, ensuring the delivery of high-quality, data-driven insights and solutions.
About UsLatamCent is transforming the way today's most successful companies develop breakthrough roadmaps leveraging Cloud-Based Technologies to boost efficiency, ensure compliance, deliver actionable insights and lower cost of total ownership.
Job DescriptionThis is a challenging opportunity for an experienced Machine Learning Lead to lead the design, development, and deployment of machine learning models and algorithms to solve complex business problems. Key Responsibilities include:
- Leading the end-to-end machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment.
- Utilizing AWS SageMaker to build, train, and deploy machine learning models.
- Leveraging AWS Bedrock to develop robust and scalable generative AI solutions for various applications.
- Developing and implementing generative AI solutions to enhance business processes and customer experiences.
- Implementing MLOps practices, including model monitoring, and automation of the training and deployment pipeline.
The ideal candidate will have a minimum of 7 years of hands-on experience in machine learning and data science roles, with significant experience in leading and managing ML projects. Strong proficiency in Python and familiarity with machine learning libraries such as TensorFlow, PyTorch, and Scikit-Learn are required. Experience with MLOps practices, AutoML, hyperparameter tuning, and model optimization techniques are also necessary.
We offer a competitive salary of $4000 USD monthly, full-time remote work flexibility, and opportunities for professional growth. If you believe your experience and skills align with this position, we would love to hear from you.
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