AI/ML Developer II (Remote)

The Home Depot

2d•Remote

About The Position

The Software Engineer II is responsible for independently developing and assisting in the design of a product that our customers and associates love. As a Software Engineer II, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineer II may be involved in configuration, security, resilience, performance tuning and production monitoring. We are dedicated to pushing the boundaries of technology to create solutions that make a difference to the company. Our team is looking for a talented AI/ML developer to join us developing cutting-edge machine learning models and applications for the Company.

Requirements

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
2-3+ years of relevant work experience
Extensive experience in AI, machine learning.
Strong understanding of AI use cases and their application in business contexts.
Proven track record of developing AI use case from concept to launch.
Strong programming skills in Golang, Python.
Experience building and maintaining robust data pipelines, ETL/ELT workflows, and data ingestion processes.
Solid understanding of machine learning algorithms and principles.
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
Experience with data preprocessing, data ingestion and model evaluation.
Strong problem-solving skills and ability to work independently and as part of a team.
Experience in writing SQL queries against a relational database
Experience in version control systems and collaborative development tools.
Experience with cloud platforms (Azure, GCP)
Experience in source code version control (e.g. Git)
Experience in Relational or NoSQL database technology
Experience in cloud computing techniques
Experience in CI/CD tools
Experience in microservice-based architecture
Experience with modern debugging and root cause analysis techniques
Exposure to security frameworks for user and services authorization and authentication
Exposure to creating and executing unit, functional, destructive and performance tests
Excellent communication skills to convey technical concepts to non-technical stakeholders.
Experience in REST and effective web service design
Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
The knowledge, skills and abilities typically acquired through the completion of a bachelor’s degree program or equivalent degree in a field of study related to the job.

Responsibilities

Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions.
Documents, reviews and ensures that all quality and change control standards are met.
Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable.
Writes custom code or scripts to automate infrastructure, monitoring services, and test cases.
Writes custom code or scripts to do destructive testing to ensure adequate resiliency in production.
Program configuration/modification and setup activities on large projects using HD approved methodology.
Configures commercial off the shelf solutions to align with evolving business needs.
Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively.
Actively seeks ways to grow and be challenged using both formal and informal development channels.
Learns through successful and failed experiment when tackling new problems.
Collaborates with other team members in agile processes.
Assists in creating new and better ways for the team to be successful.
Relates openly and comfortably with diverse groups of people.
Builds partnerships and works collaboratively with others to meet shared objectives.
Design and develop machine learning models and algorithms to address business challenges.