Senior Machine Learning Engineer

Key Skills

Apache Airflow, Apache Hadoop, Apache Hive, AWS, Azure, Big Data Technology, Cloud computing, Flask, Google Cloud Platform (GCP), Machine learning techniques, MLflow, Natural Language Processing (NLP), Python Programming, Spark Core

Job Description

Our global team in Search & Analytics is looking for an experienced Senior Machine Learning Engineer. This position can be based near any of our US offices or Toronto.

About You...

• Master's degree in Computer Science, Technology, or Engineering preferred.
• Minimum 5 years relevant work experience (including internships).
• Proven track record in the application of ML/NLP/Search Engine/Big Data.

What you will be doing in this role....

• Identifies strategic information needs of internal clients and translates these into data requirements to build high performance data stores.
• Design and implementation of ML model deployment infrastructure.

• Works in collaboration with Data Scientists to constantly optimize the performance of the ML models.
• Explores existing data for insights and recommends additional sources of data for improvements.
• Track, verify, evolving data sources, data flows, tools & storage mechanisms

Technical & Professional Skills:

• Big Data on cloud computing platforms with technologies such as Hadoop, Hive and Spark.
• Excellent Python programming skills.

• Experience with Data Science and supporting data scientists to get their models successfully deployed to production.
• Machine learning knowledge: solid hands-on experience with: (1) multiple typical ML tasks such as classification/regression/clustering, (2) data gathering/data preprocessing/feature engineering, (3) model selection/testing/(re)training/monitoring.
• Extensive knowledge of deployment tools such as AWS, Google Cloud, Azure, Docker, Flask, MLFlow, and Airflow.

About our team:

Our scientists and engineers use Machine Learning, NLP, and Information Retrieval to solve problems along the entire Lifecycle of Innovation. From algorithms to classify content, to automating content extraction workflows, extracting and resolving entities, building recommender and decision support systems, predicting risk and outcomes, and enabling unique ways of finding content, these are just a few of the ways our team is fostering productivity of our customers who lead innovation in the world.

Clarivate is an Equal Opportunity Employer Vets/Minorities/Women/Disabled