Machine Learning Engineer III

at you'll do:**

• Design, develop, and implement machine learning models for various applications, including but not limited to predictive analytics, natural language processing, and computer vision.

• Research and implement state-of-the-art machine learning algorithms to address specific business challenges.

• Design and implement cloud architectures tailored for end-to-end machine learning workflows (including data preprocessing, model training, and deployment), ensuring scalability, reliability, and performance.

• Utilize Infrastructure as Code (IaC) tools, such as Terraform or AWS CloudFormation, to automate the provisioning and management of cloud resources for machine learning.

• Implement and manage containerization solutions (e.g., Docker) and orchestration tools (e.g., Kubernetes) for deploying and scaling machine learning applications.

• Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements and deliver effective solutions.

• Document code, algorithms, and processes to facilitate knowledge sharing and ensure reproducibility.

• Provide technical guidance in best practices for model development and deployment to the data science team.

• Effectively communicate complex technical concepts and insights to both technical and non-technical stakeholders.

What you'll need:

• Candidate must possess a Graduate Degree (MS/PhD) in Data Science, Machine Learning, Statistics, Mathematics, or related discipline.

• 7+ years of experience in developing and deploying advanced 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.

• Advanced 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 collaborative coding practices.

• Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.

• Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.

• Ability to travel up to 10% of the time

Chewy is committed to equal opportunity. 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, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact [email protected].

If you have a question regarding your application, please contact [email protected].

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