About this role
Summary: Builds and deploys data-driven analytics, ML models, and AI agent applications that connect customer use cases to data pipelines and cloud systems. Validates solutions with internal and customer-facing teams and helps transition successful concepts into supported product capabilities.
The full-time role will help turn Acumen capabilities into deployable solutions by connecting customer use cases to data pipelines, analytics, ML models, AI agents, automation workflows, and product integrations. The engineer will work across research, product, engineering, and solution teams to validate new capabilities in realistic environments and convert field learning into repeatable artifacts.
Join the Acumen AIOps team to solve complex network and operational problems. This role combines data science, AI engineering, light-weight software development, and solution delivery to create reusable analytics, agentic applications, and automation workflows. The successful candidate will rapidly prototype with real-world data, integrate with cloud and enterprise systems, validate solutions with internal and customer-facing teams, and help transition successful concepts into supported product capabilities.
The internship program provides an opportunity to build descriptive, predictive, prescriptive, and agentic applications that address network operations and business opportunities using real-world data from LTE and 5G mobile networks, IP transport networks, and voice and video systems. The ideal candidate combines data science or AI coursework with strong software engineering skills, intellectual curiosity, and the ability to learn networking and customer domains quickly.
Essential Responsibilities:
- Transform ideas into data-driven solutions by working through all phases of software development or model lifecycle
- Evaluate application requirements to explore, evaluate, recommend, and implement analytical and ML models utilizing latest tools
- Build, demonstrate, deploy, and document solution implementations using customer or representative data sets, open-source technologies, cloud services, optimized hardware, Acumen capabilities, and the broader Ribbon ecosystem; identify which successful patterns should become reusable product features, connectors, agents, or solution accelerators.
Experience and Skills:
- Studying Computer Science, Artificial Intelligence, Data Science, or a related discipline, with demonstrated experience building working applications or data products; coursework or experience in networking, distributed systems, or cloud platforms is a plus.
- Experience working through all data phases such as exploration, preparation, engineering, modeling, and closed-loop automation
- Experience evaluating, adapting, testing, and deploying machine-learning or generative-AI capabilities using Python, including appropriate use of foundation models, retrieval, tools, agents, evaluation methods, and traditional ML techniques.
- Exposure to neural-network architectures, natural-language processing, generative AI, retrieval-augmented generation, tool use, and agentic application development.
- Ability to develop, debug and deliver applications in Python
- Strong understanding of databases (schemas, SQL, structured and semi-structured)
- Hands on experience in Linux environments as power user; Cloud technologies, docker/Kubernetes a plus
- Ability to independently decompose larger problems and progressively work a solution to completion
- Ability to quickly pickup new tools and technologies to assist in rapid prototypes and solutions
- Exercises judgment in selecting methods, techniques, and evaluation criteria for obtaining results
- Very strong ability to grasp and apply new information quickly
- Self-motivated to work problems to logical conclusions
- Excellent oral and written communication skills
Target Start Date: January 2027
Target End Date: August 2027
The anticipated base pay range for this full-time position in all geographic locations is $62,000.00 - $83,000.00 annually. Actual compensation within the range will be determined based on a variety of factors, including, but not limited to the candidate’s experience, skills and education. The compensation package also includes eligibility for an incentive plan and comprehensive benefits, subject to applicable requirements.
Please Note:
*'All qualified applicants will receive consideration for employment without regard to race, age, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, on the basis of disability, or other characteristic protected by applicable law.'*
US Citizens and all other parties authorized to work in the US are encouraged to apply.