Senior Machine Learning Architect/ML OPS
Posted on 1/24/2023
INACTIVE
ZoomInfo

1,001-5,000 employees

Platform providing real-time business data and insights
Company Overview
ZoomInfo, a leading go-to-market platform, offers businesses a competitive edge by providing accurate, real-time data and insights to over 35,000 companies globally, thereby enhancing efficiency and aligning sales and marketing teams. The company stands out for its strict adherence to data privacy, boasting industry-leading GDPR and CCPA compliance and multiple data security and privacy certifications. Furthermore, ZoomInfo's all-in-one platform enables businesses to identify and engage potential customers before competitors, uniting sales and marketing teams around a single source of truth and facilitating rapid scaling through task automation across all outreach channels.
Data & Analytics

Company Stage

Series A

Total Funding

$7M

Founded

2007

Headquarters

Vancouver, Washington

Growth & Insights
Headcount

6 month growth

3%

1 year growth

7%

2 year growth

36%
Locations
Waltham, MA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Python
Airflow
Data Science
Tensorflow
Pytorch
Apache Spark
SQL
Docker
Scala
Natural Language Processing (NLP)
Hadoop
Data Analysis
Snowflake
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • M.S. with 5+ years, or B.S. with 8+ years experience working with machine learning models and deploying them into production
  • Degree in Computer Science, Electrical Engineering, Data Science, or other related computational fields
  • Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems
  • Experience with orchestration frameworks such as Airflow a plus
  • Experience with Scala, Docker and Kubernetes a plus
  • Experience with machine learning frameworks such as Scikit-learn, SparkML, or XGBoost, etc
  • Experience with natural language processing or deep learning frameworks such as Tensorflow, Pytorch, or HuggingFace, etc
  • Have a data-centric mindset and willingness to dive into data
  • Able to work through potentially challenging datasets with methodical grace
Responsibilities
  • Contribute to building a platform to streamline all phases of data-centric innovation, including data organization, data access, data exploration, data science prototyping, productionization, testing, and ongoing monitoring of machine learning pipelines
  • Design, implement, and integrate machine learning models into automated pipelines
  • Anticipate the needs of Data Scientists and the business
  • Design infrastructure, tools, utilities, and automated workflows
  • Partner with data scientists to review and co-optimize technical designs
  • Support the productionization and deployment of data science models and pipelines
  • Optimize machine learning and relevant data processing code for scale and robustness
  • Evangelize and drive adoption of the ML platform, and strive for operational excellence