- Take pride in our contributions
- Support one another
- Optimize what matters
- Principled execution
- Contribute to building a platform to streamline all phases of data-centric innovation, including data organization, data access, data exploration, model prototyping, training, productionisation, testing, and ongoing monitoring of machine learning pipelines
- Design infrastructure, perform tool selection, implement utilities and automated workflows to facilitate the operations of a 40+ person, global data science organization
- Define cohesive processes and standards in conjunction with tools
- Document, communicate, and drive adoption of the ML platform, striving for operational excellence
- Collaborate with cross-functional teams to define project execution plans and support the productionisation, deployment, and integration of models and pipelines
- Hop into complex data science projects to provide expert guidance, design, and support
- Optimize machine learning and data transformation code for scale and robustness
- 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
- Experience with NLP, computer vision, or deep learning frameworks such as Tensorflow, PyTorch, or HuggingFace, etc.
- Expert at Apache Spark, Databricks, Hadoop, or other big data systems
- Experience with machine learning frameworks such as Scikit-learn, SparkML, MLFlow, KubeFlow, etc.
- Experience with batch orchestration frameworks such as Airflow, or streaming services and systems
- Experience working with Cloud Platform Technologies in AWS, Google Cloud, or Azure
- Have a data-centric mindset and willingness to dive into data with methodical grace
- Strong communication skills, both oral and written, and ability to coordinate complex project execution with cross-functional teams
- Experience with Scala, Kafka, Apache Beam, Flink, Redis, Docker, or Kubernetes a plus
- Experience with recommender systems, entity extraction, or entity resolution a plus
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Principal Machine Learning Architect - Waltham, United States - ZoomInfo Technologies LLC
Description
Job Description
Job DescriptionAt ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take initiative, get stuff done attitude and will help you unlock your growth potential. One great choice can change everything. Thrive with us at ZoomInfo.
ZoomInfo is the premiere provider of GTM solutions for revenue teams at businesses of all sizes. These solutions are built on a solid foundation of curated data on businesses and business professionals. As part of the ML architecture team, you will serve as an expert across machine learning, data sciences, and data/backend engineering, to guide the team on machine recognition, prediction, and information processing systems and platforms to organize and extract valuable insights at scale from rich and diverse datasets gathered from first, second, and third party sources.
Our Team Values
What you'll do:
What you bring:
The US base salary range for this position is $192, $240,000.00 + bonus, equity and benefits.
Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.
We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.
#LI-VC1
#LI-Hybrid
About us:
ZoomInfo (NASDAQ: ZI) is the trusted go-to-market platform for businesses to find, acquire, and grow their customers. It delivers accurate, real-time data, insights, and technology to more than 35,000 companies worldwide. Businesses use ZoomInfo to increase efficiency, consolidate technology stacks, and align their sales and marketing teams — all in one platform.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an Equal Opportunity employer. We are committed to equal employment opportunities for applicants and employees regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic or status protected by applicable law. At ZoomInfo, we also consider qualified candidates with criminal histories, consistent with legal requirements.
Principal Machine Learning Architect professionals in Waltham
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Doug Huston
Talented Project Mangager/Engineer