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REMOTE - US
About the Role
The Professional Services Data Science Team provides customers worldwide with the opportunity to work side by side with Lucidworks Machine learning experts in an immersive experience that enables companies to advocate their highest impact business challenges. The mission of the PS Organization is to ensure that our customers and partners get the most out of the Lucidworks Professional Services offering, whether that be Search, Connectors, Data Science or a combination of these products.
In this role you will be focused on delivering and, at times creating, cutting-edge ML training and implementations for Lucidwork Customers. You will be working side by side with our customers (Fortune 1000 companies) as they try to see how they can apply ML to their businesses. Act as an ML subject matter expert within the Lucidworks Professional Services team and support other ML related activities across the organization as they arise.
We’re looking for a scrappy, motivated data scientist with coding chops (don’t worry, no production coding) to work with a broad range of clients around the world. You are curious and always learning about new technologies with the ability to communicate with and present information to a wide range of audiences and customers. Once it’s safe, you will be expected to travel to customer sites, conferences, and other related events as required.
Develop deployable Machine Learning (ML) models that encapsulate knowledge from domains such as Healthcare, Oil and Gas, Materials Science, E-commerce, etc. Models will be used in search applications.
Develop advanced ML notebook templates to share internally with team members and deliver to customer Data Science teams.
Actively interact with customers on ML advisory and consulting projects related to search.
Conduct agile ML proof-of-concepts (POCs) to solve the client’s most pressing search problems.
Design and deliver internal technical ML trainings to consultants, sales engineering, support and marketing
Provide high quality and timely services to create the highest level of customer satisfaction across a wide array of Fortune 500 and Global 2000 clients
Bachelor’s degree in Computer Science or equivalent practical experience.
2+ years professional experience conducting technical implementation or training experience in a client-facing technical consulting/educating role
Experience building and implementing ML models for different use cases using Python, Scala, Pytorch, Tensorflow, Spacy.
Experience with data processing technologies (e.g. Spark, SQL, Pandas, Excel).
Experience implementing State-of-the-art language models such as Bert, GPT-2, Electra (e.g. Spark, SQL, Pandas, Excel).
MS in Computer Science, Mathematics or other quantitative fields.
Proficiency in one or more Search technologies such as Apache Solr, Lucidworks Fusion.
Please note that at this time Lucidworks is unable to sponsor employment authorization (both new and transfer).
Lucidworks is shaping the future of digital experiences, AI, and machine learning by reimagining the power and value of search to create all-new, human-centered experiences. We’re a Leader in Gartner’s 2018 Magic Quadrant for Insight Engines, and we are obsessed with helping the world’s best enterprises deliver breakthrough experiences that transform business and increase user engagement. Our ambitious, empowered team is focused on helping our customers meet their loftiest goals. Fusion, our advanced development platform, gives these enterprises the capabilities to design, develop, and deploy intelligent search at any scale.
Our roots are in Solr, the global search standard used by 90 percent of Fortune 500 companies, and our team includes leading search and discovery contributors and committers as well as many of the world's foremost search and machine learning innovators. We’re serious about the impact of our products to catalyze results for our customers, and about building a team that delivers meaningful results across a growing worldwide community.
Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way. Applicants receive consideration based on the relevant talents, skills, and experiences they offer to our company. Thank you for your interest and we look forward to learning more about you.
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