Artificial Intelligence and Machine Learning Director
hace 4 días
Company Overview
">We are a leading technology company in Latin America, dedicated to delivering innovative solutions that transform the way businesses operate. Our team of experts is passionate about leveraging cutting-edge technologies, including machine learning and artificial intelligence, to drive growth and improvement.
">About the Role
">We are seeking an experienced Artificial Intelligence and Machine Learning Director to lead our efforts in developing and implementing advanced machine learning models and generative AI solutions. As a key member of our team, you will be responsible for overseeing the end-to-end machine learning lifecycle, from data preprocessing to deployment, and ensuring the delivery of high-quality, data-driven insights and solutions.
">Key Responsibilities
">This role involves:
">- ">
- Leveraging AWS SageMaker and AWS Bedrock to build, train, and deploy machine learning models;">
- Developing robust and scalable generative AI solutions for various applications;">
- Implementing MLOps practices, including model monitoring and automation of the training and deployment pipeline;">
- Collaborating with cross-functional teams to integrate ML models into production environments and applications;">
- Providing technical leadership and mentorship to a team of data scientists and machine learning engineers.">
Requirements
">To be successful in this role, you will need:
">- ">
- 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;">
- Proven track record of successfully delivering end-to-end machine learning solutions from concept to production deployment;">
- Extensive expertise in AWS services such as SageMaker, AWS Bedrock, and other AI/ML tools;">
- Strong proficiency in Python and familiarity with machine learning libraries such as TensorFlow, PyTorch, and Scikit-Learn;">
- Experience with MLOps practices, including model monitoring, deployment automation, and CI/CD pipelines;">
- Demonstrated ability to design and implement scalable and efficient machine learning architectures in cloud environments;">
- Deep understanding of data engineering, feature engineering, and data preprocessing techniques.">
Benefits
">We offer a competitive salary of $4,000 USD per month, full-time remote work flexibility, and opportunities for professional growth and development.
">Contact Information
">Please submit your resume and cover letter to apply for this exciting opportunity.
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