Solutions Architect - Tech Specialist AI/ML
Austin, Texas, United States, Remote
Applications have closed
SparkCognition
SparkCognition builds AI platforms that enable the world’s most creative problem solvers to ignite lasting impact in their organizations and the world.
Voted Best Places to Work in Austin, Best Paying Companies,
and Top Startup Companies by Forbes
SparkCognition looks to bring in the best talent in the world. To accommodate the hiring of our wildly talented teams, SparkCognition sponsors visa opportunities when appropriate.
Who are we and why this opportunity?
Drive change and create a footprint. SparkCognition invests in our employees and fosters
collaboration throughout the organization. Our employees have the ability to work globally
with award-winning artificial intelligence (AI) technology within multiple industries.
What are the benefits and perks at SparkCognition?
You and your loved ones will be supported with a competitive and comprehensive benefits package.
Below are some highlights - we’d love to connect and share more!
- Fast-paced evolving culture with the opportunity to drive new ideas and technology.
- Dynamic Work Environment - Remote and In-Office Options
- Stock Option Grants
- Generous Time Off Programs
- Medical Coverage, and Parental Leave Plans
- 401k with Employer Match
- Monthly Technology Allowance
- Large 2022 renovated office space centrally located near the Arboretum in Austin, TX- including fully stocked beverage and snack areas!
Join us in:
- Providing web and in-person product overview and demonstrations of SparkCognition’s software products and solutions to potential customers and partners.
- Completing technical sections of proposals and RFPs.
- Engaging with product management to stay current on product roadmap and deeper technical aspects of the products.
- Developing technical content to share across the broader team and help marketing and sales message the solution capabilities to technical audiences.
- Following up with customer technical points of contacts to answer outstanding questions and exceed customer expectations.
- Conducting product training for key prospects or pilot customers.
- Technically validating and mapping customer business requirements to the suite of SparkCognition solutions taking into account available data and IT infrastructure.
- Guiding and executing on technical pre-sales customer engagements using a combination of SparkCognition products and open source data science technologies to analyze and model customer data.
You’ll have:
- 2+ years of experience in data science and advanced data analytics.
- An understanding of Machine Learning and statistical concepts with project-related experience coding in Python Jupyter Notebooks and using open-source languages, frameworks, and libraries such as Pandas, Numpy, and Sci-kit Learn.
- The ability to communicate the technical and business values of software solutions effectively to all prospective stakeholders.
- Excellent written and verbal communication skills.
- The ability to work effectively in a team environment and across functional departments and interface frequently with account executives, engineering, services, subject matter experts, technical sellers, legal, customer success, marketing, and product management.
- The ability to travel 20% or as business needs require.
Explore SparkCognition:
https://www.sparkcognition.com/company/
SparkCognition is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment. SparkCognition prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.#remote #ai #bethespark
Tags: Data Analytics Engineering Jupyter Machine Learning NumPy Open Source Pandas Python Travel
Perks/benefits: 401(k) matching Career development Equity Health care Medical leave Parental leave Startup environment
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