Full-Time
AI/ML Data Analyst
Confirmed live in the last 24 hours
Intradiem
201-500 employees
Intelligent automation solutions for call centers
Senior
United States
Open to candidates located in the US or UK; occasional in-person meetings or events required.
- Requires 5+ years of experience in AI/ML Solution Development as outlined above. Enterprise experience preferred.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field with an emphasis on AI/ML methods or equivalent work experience. Master’s degree preferred.
- Deep understanding of AI/ML technologies such as: Genetic Algorithms, Quantitative Methods, Linear Programming, Non-Linear Programming, Time Series Decomposition/Analysis, Ontology Modeling, Graph Theory.
- Familiarity and/or interest in technologies used in realizing an AI/ML solution on a modern computing platform such as: Programming languages (R, Python, etc.), Data mining tools, Data presentation tools.
- Familiarity and/or interest in cloud related technologies such as: Kubernetes, Docker.
- Ability/desire to research and understand the latest tools and technologies in the AI/ML space.
- Experience with data pipelining, data platform, and data lake/warehouse technologies is desirable.
- Develop mission critical mathematical models and algorithms as well as the supporting documents for the AI/ML initiative.
- Read, discuss, and analyze: Domain ontologies, Data models/schemas, Business problem statements, Technical documentations and definitions.
- Estimate, prioritize, and plan the activities associated with analysis and model creation.
- Review algorithms for accuracy, performance, and appropriateness.
- Be a subject matter expert on the tools and techniques used to develop and deliver quality AI algorithms.
- Where necessary, troubleshoot and correct field issues in concert with other functional teams identifying root cause and corrective action.
- Conduct all business in accordance with Intradiem’s development and security policies and procedures.
- All other duties as assigned.
Intradiem specializes in intelligent automation solutions tailored for call centers and customer service teams. Their software automates routine tasks, enhancing workforce management and improving productivity, employee engagement, and customer experience. Clients, including both remote and in-person teams, subscribe to their Software-as-a-Service (SaaS) platform, which is accessible online and can be implemented quickly, often within 12 weeks. Intradiem's software processes large amounts of data in real-time, taking immediate actions based on set rules, which helps reduce operating costs and keeps agents engaged. The company stands out by seamlessly integrating with existing call center software and utilizing artificial intelligence for real-time decision-making. Intradiem's goal is to provide guaranteed cost savings and improved results for their clients, making their solution a valuable asset for optimizing workforce management in customer service operations.
Company Stage
N/A
Total Funding
$29.4M
Headquarters
Alpharetta, Georgia
Founded
1995
6 month growth
↑ 5%1 year growth
↑ 10%2 year growth
↑ 12%
Simplify's Take
What believers are saying
- Strategic partnerships with industry leaders like Genesys and CommunityWFM enhance Intradiem's market reach and technological capabilities.
- The recent U.S. patent for their Burnout and Attrition Indicator highlights their innovative edge and commitment to improving agent well-being.
- Recognition from Frost & Sullivan and other industry accolades bolster Intradiem's reputation as a leader in intelligent automation solutions.
What critics are saying
- The high turnover rate in call centers could challenge the long-term effectiveness of Intradiem's solutions.
- Rapid technological advancements in AI and automation could lead to increased competition, requiring continuous innovation to maintain market leadership.
What makes Intradiem unique
- Intradiem's AI-powered automation seamlessly integrates with existing call center software, providing real-time decision-making capabilities that many competitors lack.
- Their patented Machine Learning Burnout and Attrition Indicator sets them apart by addressing the critical issue of agent attrition with high accuracy.
- The SaaS model ensures quick implementation and scalability, allowing clients to see results within 12 weeks, which is faster than many industry standards.
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