Principal AI/ML Ops Platform Engineer

at  Southern Glazers Wine and Spirits

WHAT YOU NEED TO KNOW

Open the door to a groundbreaking tech career with an industry leader. Southern Glazer’s Wine & Spirits is North America’s preeminent wine and spirits distributor, as well as a family-owned, privately held company with a 50+ year legacy of success. To create a new era in alcohol beverage sales and service, we’re heavily invested in the most transformative new technologies – and the most brilliant tech professionals. Southern Glazer’s was named by Newsweek as a Most Loved Workplace and is included on the Forbes lists for Largest Private Companies and Best Employers for Diversity.
As a full-time employee, you can choose from a full menu of our Top Shelf Benefits, including comprehensive medical and prescription drug coverage, dental and vision plans, tax-saving Flexible Spending Accounts, disability coverage, life insurance plans, and a 401(k) plan. We also offer tuition reimbursement, a wellness program, parental leave, vacation accrual, paid sick leave, and more.
We offer continuous learning and career growth in a fast-paced environment where you are respected, your voice is heard, and technology is part of our strategy for success. If you’re looking to fill your glass with opportunity, come join our FAMILY.

EXPERIENCE

• 7+ Years of Experience with a BS or MS in Computer Science or equivalent education and experience
• 3+ years of experience on framework based Model development, optimization or efficient deep learning technique

TECHNICAL SKILLS

• Strong expertise in programming languages - Python, R, or Scala and technologies like Tensorflow, PyTorch, Kubernetes, Spark, Airflow, Kafka and Opensource LLMs.
• Experience in working with petabyte scale data sets and developing ML frameworks in Databricks, Snowflake or similar large platforms.
• Proficiency in machine learning and familiarity with open-source machine learning ecosystems.
• Proficiency with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (ex: terraform).

SOFT SKILLS

• Excellent communication and collaboration skills.
• Strategic thinker with a strong analytical mindset and problem-solving abilities.

• Build and deploy production grade Machine Learning models.
• Work in the full lifecycle of ML model development, from data preparation and feature engineering to model training, evaluation, and deployment.
• Deep technical proficiency in applying a variety of machine learning 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.
• Exceptional 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
• Leverage Jupyter Notebooks for prototyping, experimentation, and collaboration.
• Contribute to the continuous improvement of our machine learning systems by staying abreast of advancements in software engineering and machine learning.