Address
Form of workJob Description
Comp: EQUITY ONLY until revenue develops (Q124) and/or funding begins
Cloud Architecture, Azure Functions, Python, Java
- Early stage beginning commercialization Q1 2024;
- Chance to deploy AI / ML Open AI analytics at production scale;
- Full or Part Time w/ day job ok.
Comp: EQUITY ONLY until revenue develops and/or funding begins
- Team: currently 5 SwE & IT and Linguistics Data Science professionals;
- Location: Dallas TX;
- Fullly remote ok Central or Eastern time zone USA;
- Experience: ~8+ Years Software Engineering w/ 3 years machine/deep learning experience. deep expertise in Python and some Java programming and DevOps Processes.
- Implementation of Python based applications on Azure cloud platform is strong preference.
Job Overview
We are seeking highly skilled and motivated NLP Developers to join our innovative early stage venture. The ideal candidate has expertise in developing and implementing NLP algorithms and models to analyze documents for semantic and syntactic ambiguity. You will be at the forefront of advancing technology to enhance document clarity, creative expression, and other quality aspects.
Required Qualifications
- Education: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
- Technical Expertise: Proficiency in NLP and machine learning technologies (e.g., Python, TensorFlow, PyTorch, spaCy).
- Experience: Proven experience in developing NLP applications, preferably in the area of semantic and syntactic analysis.
- Analytical Skills: Strong analytical and problem-solving skills, with the ability to work with complex data.
- Communication: Excellent communication skills, capable of conveying complex technical ideas to non-technical stakeholders.
Design / Programming with the following :
Expertise on Azure IaaS services, including some experience with:
- AKS, Azure Functions,
- Azure AD,
- Azure Devops,
- API Management,
- Kafka and Event hubs,
- Change Data Capture
- Cosmos DB,
- Azure storage,
- ADLS Gen
Knowledge on Spring, Spring Boot, Maven, Kubernetes, and other OSS technologies deemed preferable.
Hands-on other cloud technologies like GCP/AWS is an added advantage.
Key Responsibilities
- Algorithm Development: Design, develop, and maintain NLP algorithms and models for analyzing semantic and syntactic structures in documents.
- Data Analysis: Work with both small and large text corpuses to identify patterns, anomalies, and opportunities for improvement in document analysis.
- Model Training & Optimization: Train and fine-tune machine learning models to enhance accuracy in detecting ambiguities in text.
- Collaboration with Cross-Functional Teams: Collaborate with other developers and the product team to integrate NLP technologies into our platform.
- Research and Innovation: Stay abreast of the latest developments in NLP and machine learning, applying new techniques and methodologies to ongoing projects.
- Quality Assurance: Ensure the reliability and effectiveness of NLP applications through rigorous testing and validation.
- Documentation & Reporting: Document development processes and report on project progress and outcomes.
Vital Text Systems (VTS), is a growing startup formed in 2013 in Portland, Maine US. The VTS founders have worked together for several years, remotely around the US. Until use of our patented analytics few understand the exposure for the 70MM+ knowledge workers in the US and 450MM internationally. VTS expanding patented AI delivery enhancing creative writing and detecting risks imposed by linguistic gaps in high value documents leading to miscommunication.
•August 2016 Microsoft awarded BizSpark Plus Sponsorship ($320,000 credits) 3 year PaaS support;
•June 2017 US Patent No. 9,678,949 allowed
•July 2019 MS BizSpark Plus Sponsorship 1 year $120,000 credits extension Azure PaaS program.
•October 2022 VTS Freemium MVP 2.1 added linguistics Creative Writing / Risk Management technology
•March 2023 Release new MVP 2.8 Web & Word limited release, deploying Azure Functions with Python support for analytics.
•December 2023 beginning research to deliver generative AI solutions working with Change Data Capture (CDC) events to augment risk
management algorithms.
•Jan 2024 VTS MVP 2.8.3 Freemium tier reaches 12,106 registered users, 921 multi day scanners
•Jan. 2024 Digital Revenue Director on board to promote the new release, paid subscriptions, in first campaigns of full commercial
operations
Prior funding was modest at approximately $580,000 over the five years of research. We are a very lean and financially austere team carefully balancing our bottom line against steady growth. Competitive pressures are modest and mostly focused on adjacent areas in linguistic analytics leading to addition of creative writing feature set for MVP 2.8.3.
Our story is much bigger, we’re always eager to recount it.
•August 2016 Microsoft awarded BizSpark Plus Sponsorship ($320,000 credits) 3 year PaaS support;
•June 2017 US Patent No. 9,678,949 allowed
•July 2019 MS BizSpark Plus Sponsorship 1 year $120,000 credits extension Azure PaaS program.
•October 2022 VTS Freemium MVP 2.1 added linguistics Creative Writing / Risk Management technology
•March 2023 Release new MVP 2.8 Web & Word limited release, deploying Azure Functions with Python support for analytics.
•December 2023 beginning research to deliver generative AI solutions working with Change Data Capture (CDC) events to augment risk
management algorithms.
•Jan 2024 VTS MVP 2.8.3 Freemium tier reaches 12,106 registered users, 921 multi day scanners
•Jan. 2024 Digital Revenue Director on board to promote the new release, paid subscriptions, in first campaigns of full commercial
operations
Prior funding was modest at approximately $580,000 over the five years of research. We are a very lean and financially austere team carefully balancing our bottom line against steady growth. Competitive pressures are modest and mostly focused on adjacent areas in linguistic analytics leading to addition of creative writing feature set for MVP 2.8.3.
Our story is much bigger, we’re always eager to recount it.
