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Machine Learning Data Engineer
1 week ago
Job Overview:
We are seeking a highly skilled Machine Learning Data Engineer - Senior Position to join our team. As a senior member of our Merchandising Data Science Team, you will be responsible for designing, developing, and implementing machine learning models for various applications.
The ideal candidate will have expertise in both machine learning and cloud technologies, with a focus on deploying and scaling machine learning models in cloud environments.
Key Responsibilities:
- Design, develop, and implement machine learning models for various applications.
- Research and implement innovative machine learning algorithms to address specific business challenges.
- Design and implement cloud architectures tailored for end-to-end machine learning workflows.
- Use Infrastructure as Code (IaC) tools to automate the provisioning and management of cloud resources.
- Implement containerization solutions and orchestration tools for deploying and scaling machine learning applications.
- Collaborate with multi-functional teams to understand requirements and deliver effective solutions.
- Document code, algorithms, and ensure reproducibility.
- Provide technical mentorship in standard methodologies for model development and deployment.
- Effectively communicate technical concepts and insights to both technical and non-technical customers.
About the Role:
This is a senior position that requires a strong background in machine learning and data engineering. The ideal candidate will have experience in designing and implementing machine learning models, as well as a deep understanding of cloud technologies.
Requirements:
- Graduate Degree in Data Science, Machine Learning, Statistics, Mathematics, or related field.
- 7+ years of experience in developing and deploying machine learning models and algorithms in a production environment.
- Strong understanding of statistical analysis, machine learning, and deep learning techniques.
- Expertise in programming languages such as Python.
- Proficiency with SQL
- Strong understanding of cloud platforms such as AWS.
- Proficiency in Infrastructure as Code tools (e.g., Terraform, CloudFormation).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Proficiency with version control systems (e.g., Git) and coding practices.
- Strong problem-solving skills and the ability to work independently and in a fast-paced environment.
- Excellent oral and written communication skills.
About Us:
We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, please let us know if we can assist with your application process.