Machine Learning Engineer

As a Sr. ML Engineer, you will focus on developing and deploying personalization and recommender systems, algorithms, and models to drive a delightful personalized content discovery experience. You will partner closely with product and engineering stakeholders to identify ML opportunities, accelerate AI innovation, and ensure the delivery of impactful solutions for the business

 

To be successful, you will need:

Mastery in at least one high-level programming language such as Python, Java, or Scala (7+ years)
Working experience with big data tools such as Hadoop/YARN, Spark, Kafka, Hive, Presto (5+ years)
Experience with cloud platforms such as AWS, Google Cloud, Azure
Expert-level experience with ML platforms -TensorFlow, Recognition, etc
Expert-level experience delivering production-level online machine-learning models leveraging large data sets that have led to significant growth or performance improvements.

You will:
Oversee operational support and maintenance of products and services delivered by the AI/ML team
Build best practices used in day-to-day operations and working with business units to plan, design, and implement large-scale projects in machine learning space
Design and apply machine learning algorithms in image recognition, NLP, and anomaly detection space and evaluate their performance on real-world data sets.
Write robust production-level code and engage in code reviews.
Deploy ML model pipelines, scale through Big Data, optimize performance.

Are you excited about building software solutions around large, complex Machine Learning (ML) and Deep Learning (DL) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Artificial Intelligence (AI)? Eager to learn from many enterprises’ use cases of AWS ML and DL?