Senior Machine Learning Engineer

New York, New York

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Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?

SALARY: $100,000 - $180,000 bonus and long-term incentive eligible

COMPANY:
Michelob ULTRA. Cutwater Spirits. Budweiser. Kona Brewing Co. Stella Artois. Bud Light. That’s right, over 100 of America’s most loved brands, to be exact. But there’s so much more to us than our top-notch portfolio of beers, seltzers, and more. We are powered by a 19,000-strong team that shares our passion to create a future with more cheers. We look for people with talent, curiosity, and commitment and provide the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? 

ROLE SUMMARY:
Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer. This role offers the opportunity to be at the forefront of developing our machine learning platform. You will be a core member, collaborating closely with our Data Science team to seamlessly transition models into production environments. If you're passionate about leveraging cutting-edge technology to drive innovation and impact, this role is for you.

JOB RESPONSIBILTIES:

  • Develop and optimize machine learning algorithms and models using Python, with a focus on performance and scalability, working very closely with the Data Scientists. 

  • Utilize Databricks environment for data processing, analysis, and model development, ensuring efficient utilization of resources. 

  • Design and manage workflows using Airflow for seamless orchestration of data pipelines and model deployment. 

  • Implement DevOps practices using GitHub workflows for model version control, continuous integration, and model deployment automation. 

  • Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions. 

  • Collaborate closely with other engineering guilds to integrate machine learning components into larger software systems and develop end-to-end solutions. 


JOB QUALIFICATIONS:

  • Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, or related field.

  • At least 2 years of experience in machine learning engineering or related roles. 

  • Strong coding skills in Python programming, with a strong understanding of code optimization techniques. 

  • Hands-on experience working with Databricks environment for data processing and analysis. 

  • Experience working on Data Visualization tools like Tableau, PowerBI or Looker. 

  • Hands on experience working on data science frameworks such as TensorFlow, PyTorch, and Spark ML. 

  • Ability to collaborate effectively with other engineering teams and stakeholders. Work closely with Data Scientists to productionize their ML models. 

  • Familiarity with Airflow for workflow management. 

  • Experience with DevOps practices and using GitHub workflows for version control and CI/CD. 

WHY ANHEUSER-BUSCH: 

Anheuser-Busch has always dreamed big. It’s who we are as a company. It’s our culture. It’s our heritage. But more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. Even when they’re hard. A future where we keep dreaming bigger. Together. To reimagine what a beer company can be. And what Anheuser-Busch can do. Where we provide more opportunity for our people, lift up our neighbors, and make a meaningful difference in the world. This future is our purpose. A future that everyone can celebrate, and everyone can share in. A future with more cheers.   

 

BENEFITS: 

  • Health benefits including Medical, Dental, Vision, Wellness and Tax-Advantaged Savings and Spending Accounts, eligible day one of hire 

  • Life Insurance and Disability Income Protection  

  • Generous Parental Leave and FMLA policies  

  • 401(k) Retirement Savings options with a company matching contribution  

  • Chance to work in a fast-paced environment among a company of owners  

  • Free Beer!

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Tags: Airflow CI/CD Computer Science Databricks Data pipelines Data visualization DevOps Engineering GitHub Looker Machine Learning Mathematics ML models Model deployment Pipelines Power BI Python PyTorch Spark Tableau TensorFlow

Perks/benefits: Career development Equity / stock options Health care Insurance Medical leave Parental leave

Region: North America
Country: United States

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