Elsevier Limited Company Verified 2d ago
Senior ML Ops Engineer
Philadelphia, PAAll locationsPhiladelphia, PAHome based-ConnecticutHome based-GeorgiaHome based-New JerseyHome based-VirginiaHome based-MarylandHome based-MassachusettsHome based-PennsylvaniaHome based-Delaware Hybrid
$95,300–$158,800 a yearPay$95,300–$158,800
TypeFull-time
Work settingHybrid
Verified listing
JobFig found this opening at its original source and checks that it remains available.
About the role
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization?
What you'll bring
- Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production.
- Hands-on‑ experience with major cloud vendor solutions (AWS, Azure and/or Google)
- Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j).
- Experience in evaluating LLM models.
- A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics.
- Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark.
- Experience with large-scale data processing systems, e.g., Spark.
- Experience with statistical analysis, machine learning theory and natural language processing.
- Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services.
- It is one of the largest publishers of academic journals and scholarly literature in the world.
- Elsevier operates in various domains, including science, technology, medicine, social sciences, and more.
- They publish a vast number of peer-reviewed journals covering a wide range of disciplines.
Locations
Philadelphia, PAHome based-ConnecticutHome based-GeorgiaHome based-New JerseyHome based-VirginiaHome based-MarylandHome based-MassachusettsHome based-PennsylvaniaHome based-Delaware