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Hybrid Machine Learning Engineer II
Condé Nast · MARKSQUARE, Bengaluru, IN, Índia · Hybrid
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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.
Job Description
Location:
Bengaluru, KAJob 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
What happens next?
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.
