Southern Glazers Wine & Spirits

Principal AI/ML Ops Platform Engineer

Southern Glazers Wine & Spirits$120K — $150K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in computer science or related field with 5 years of relevant experience, or a Bachelor's degree with 7 years of experience.
  • Proficient in programming languages such as Python, R, or SQL.
  • Knowledge of Terraform, Kubernetes, Unix, CI/CD tools, and cloud platforms like AWS or Azure.
  • Experience with cloud operations, DevSecOps, and production deployment of ML models.
  • Strong understanding of ML algorithms, techniques, and frameworks.

Responsibilities

  • Design, build, and deploy ML models for actionable insights.
  • Manage the full lifecycle of ML model development including data preparation, feature engineering, training, and deployment.
  • Utilize various ML algorithms and frameworks to address complex business problems.
  • Integrate modules into complete end-to-end systems for seamless functionality.
  • Work closely with Data Scientists on experimentation, model construction, and validation.
  • Leverage Python and relevant libraries for deep learning and NLP tasks.
  • Stay updated on advancements in software engineering and ML for continuous system improvement.

Benefits

  • Telecommuting options available, but proximity to Miramar, FL or Dallas, TX is necessary.
  • Up to 10% domestic travel required.
Full Job Description
Overview

Employer: Southern Glazer's Wine and Spirits LLC
Job Title: Principal AI/ML Operations Platform Engineer
Locations: 2300 SW 145th Avenue, Miramar, FL 33027
14911 Quorum Drive, Dallas, TX 75254

Duties

  • 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.
  • May telecommute but must reside near Miramar, Florida headquarters or Dallas, Texas office.
  • Requires 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.


Apply

Apply: https://jobs.southernglazers.com/.

About Southern Glazers Wine & Spirits

Southern Glazer's Wine & Spirits is a beverage distribution company that provides a wide range of products and services to customers across the United States. The company offers a variety of wines, spirits, and beers, as well as related products and services, such as marketing and merchandising support, education and training, and logistics and transportation. Southern Glazer's Wine & Spirits was formed in 2016 through the merger of Southern Wine & Spirits and Glazer's, Inc. The company is headquartered in Fort Lauderdale, Florida.
Learn more about Southern Glazers Wine & Spirits
Size
20,000 employees
Industry

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