The Home Depot - Software Engineer, Data (Remote)

Developer is needed in Atlanta, United States.

Client: The Home Depot

Location: Atlanta, GA

Contract: Full-time, Full-time

Job Description

The Software Engineer, Data on the ML team is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that users love. The engineering process is highly collaborative, with ML Engineers expected to pair daily as they work through user stories and support products as they evolve. They may be involved in designing and implementing AI/ML algorithms, utilizing specific HD process techniques, integration, design, and development. The role interfaces with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure business requirements are met within a machine learning solution. Additional responsibilities may include performance tuning, testing, product monitoring, customer outreach, designing ML educational materials, and data engineering. ML Engineers should operate independently with minimal guidance but typically work as part of a team. This role also involves reviewing submitted code and providing feedback based on best practices.

Responsibilities

60% Delivers and Executes: Assists in developing, testing, deploying, and maintaining software; follows best practices; participates in improvement conversations; helps the team achieve results even under tough circumstances.

20% Learns and Grows: Learns through successful and failed experiments; actively seeks growth opportunities using both formal and informal development channels.

20% Plans and Aligns: Builds partnerships and collaborates with others to meet shared objectives; works together with team members in agile processes; relates openly with diverse groups.

Requirements

Minimum Qualifications:

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.

Preferred Qualifications:

• 1 - 3 years of relevant work experience.
• Expertise in ML development and ML ops lifecycle.
• Experience in modern scripting languages (preferably Python).
• Experience with effective data engineering practices and big data platforms such as BigQuery, Data Store, etc.
• Familiarity with machine learning technologies such as TensorFlow, PyTorch, and algorithms like clustering and regression.
• Familiarity with Google Cloud Platform AI/ML components.
• Experience with version control systems (preferably Git) and SQL queries against relational databases.
• Familiarity with CI/CD toolchains and web service design.

Minimum Education: Bachelor’s degree or equivalent in a related field.