About Ashling Partners
Ashling Partners is at the forefront of the hyper automation revolution! We help clients improve productivity and employee engagement by leveraging intelligent process automation, RPA, Process Intelligence, data capture/OCR and Machine Learning technologies. Our team leverages lean agile principles to make automation gains sustainable and a driving force for digital innovation.
Founded by business process improvement & technology industry veterans, Ashling Partners values meaningful work for our employees while driving real value for our clients in a sustainable and continuous manner. We will always value progress over perfection. While doing so, we strive to continually build a positive, appreciative, and fun culture for our organization.
Our rapidly growing organization is taking the world by storm, quickly becoming THE global boutique in intelligent automation. We are looking for life-long learners and servant-leaders who are passionate about innovation and the future of work. If this sounds like a place for you, we would love to meet you!
Minimum Education: Master’s degree in Computer Science, Business Analytics, Data Analytics,
Computer and Information Science, Computer Engineering or similar
Minimum Years of Experience: 1 year (12 months)
Supervision: None
Job Description:
1. Independently lead initiatives, providing technical direction during design sessions with clients
and Ashling project leads.
2. Designing, training, fine-tuning, and deploying AI/ML models to meet business requirements
as part of larger automation initiatives.
3. Collaborate with engineers to efficiently implement algorithms within existing production
processes and assist in establishing design and coding standards, policies, and procedures
across development efforts.
4. Provide recommendations on improving team efficiency from a code reusability standpoint.
5. Participate in design sessions with clients and Ashling project leads to provide technical
direction on design considerations for development, performance, scalability, availability,
maintainability, and reusability.
6. Build, train and validate AI/ML algorithms to generate as much actional information from the
data as possible
7. Develop machine learning models to conduct predictive analysis as required
8. Responsible for implementing robust testing strategies leading to model optimizations, program
effectiveness, etc.
9. Document technical specifications of models and analyses for handoff to client
10. Compare and contrast machine learning runs from previous models to current models
11. Ongoing support of client to elicit additional requirements and refine models and analyses
beyond initial deployment and recommend data-driven solutions to key stakeholders.
12. Assist with designing documentation, coding standards, procedures, and proprietary models and
analyses
13. Deliver oral or written presentations of the results of mathematical modeling and data analysis
to management or other end users.
Minimum Skills Required: (1) Provide recommendations on improving team efficiency from a code
reusability standpoint; (2) Responsible for implementing robust testing strategies leading to model
optimizations, program effectiveness, etc.; (3) Document technical specifications of models and analyses
for handoff to client; (4) Assist with designing documentation, coding standards, procedures, and
proprietary models and analyses
Supervisor: Applied Artificial Intelligence, Senior Manager
Travel: Infrequent (approximately 10%) domestic travel to unanticipated client sites nationally
Work Location: Employer allows telecommuting/work-from-home, whereby the employee may reside
anywhere within the United States.
Company headquarters is 1 East Wacker Drive, Suite 3500; Chicago, Illinois 60601
Delivery
Remote (United States)
Share on: