Principal AI/ML Ops Platform Engineer

Southern Glazer’s Wine and Spirits, LLC • Addison, TX

1d • Hybrid

About The Position

Southern Glazer’s Wine and Spirits LLC is seeking a Principal AI/ML Operations Platform Engineer to design, build, and deploy machine learning (ML) models. This role involves the full lifecycle of ML model development, from data preparation and feature engineering to model training, evaluation, and deployment. The engineer will apply various ML algorithms and techniques to solve complex business challenges, assemble modules into end-to-end systems, and collaborate closely with Data Scientists. The position requires strong programming skills in Python with popular deep learning and NLP tools and libraries, and a commitment to continuous improvement of ML systems. The role may involve telecommuting but requires residency near the Miramar, Florida headquarters or Dallas, Texas office, with up to 10% domestic travel.

Requirements

• Master’s degree (or foreign equivalent) in computer science or related field; plus 5 years of experience in job offered or software development operations and data engineering.
• Bachelor’s degree plus 7 years of experience also acceptable.
• Knowledge of programming languages (Python, R, or SQL), Terraform, Kubernetes, Unix, CI/CD tools, and AWS or Azure cloud ecosystems.
• Experience with cloud operations, DevSecOps, and deploying ML models into production environments.

Responsibilities

• Design, build, and deploy machine learning (ML) models to derive actionable insights and solve complex problems.
• Work in the full lifecycle of ML model development from data preparation and feature engineering to model training, evaluation, and deployment.
• Apply a variety of ML algorithms, techniques, and frameworks to solve complex business challenges.
• Assemble modules into end-to-end systems, ensuring seamless integration and functionality.
• Collaborate closely with Data Scientists to facilitate highly productive experimentation, model construction, and validation, fostering a sense of teamwork and shared success.
• Apply programming skills in Python with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
• Contribute to the continuous improvement of ML systems by staying abreast of advancements in software engineering and ML.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal