Machine Learning Engineer II

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others.

Location:

Job Summary: Condé Nast is seeking an experienced and highly motivated ML Engineer who will support productionizing projects in a Databricks or Sagemaker environment for the data science team. We expect the person to be a software/data engineer experienced in building & deploying big data pipelines in production, study and transforming data science prototypes into an engineering framework and is knowledgeable about machine learning models. 

**This role focuses on deploying and optimizing ML models rather than building the Machine Learning models **

Primary Responsibilities

• Build and optimize big data pipelines to deploy ML models into production environments

  
  

• Keep abreast of developments in the field

  
  

• Proactively identify and resolve challenges in ML pipeline engineering

  
  

• Design and code highly scalable, machine learning frameworks processing large volumes of data

  
  

• Engineer a near-real-time system that can process massive amounts of data

  
  

• Collaborate with other Machine Learning Engineers and Data Scientists in architecting & engineering the solution

  
  

• Follow agile processes with a focus on delivering production-ready testable code continuously in small iterations

  
  

• Participate in the entire development lifecycle, from concept to release

  
  

• Implement and maintain CI/CD pipelines to ensure seamless integration, testing, and deployment of machine learning models and big data workflows

  
  

• Participate in all phases of quality assurance and defect resolution

  
  

Desired Skills & Qualifications

• 4+ years software development experience with highly scalable systems involving machine learning and big data

  
  

• Strong proficiency in Python , with expertise in libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, and PySpark

  
  

• Understanding of data structures, data modeling and software architecture

  
  

• Strong software development skills with proficiency in Scala/Pyspark/Java

  
  

• Strong understanding of system design principles and API development

  
  

• Experience with Big Data technologies:  Hadoop, Spark, Kafka, AWS/EMR, Hive

  
  

• Experience in using Airflow, Astronomer, MLFlow, Kubeflow framework

  
  

• Experience in delivering microservices using docker/kubernetes

  
  

• Experience in serving models as a restful API service

  
  

• Experience designing and managing CI/CD pipelines for ML model deployment

  
  

• Excellent communication skills

  
  

• Ability to work in a team

  
  

• Outstanding analytical and problem-solving skills

  
  

• Applicants should have a Undergraduate/Postgraduate degree in Computer Science or a related discipline

  
  

If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.

Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.