Required Skills & Experience
- 3-5+ years of software development in data engineering/data science environments
- CI/CD
- Infrastructure as Code (this environment is Terraform)
- AWS and/or Azure OpenAI
- Python
- SQL
- Spark
Nice to Have Skills & Experience
- Scala
- Industry experience with field technicians or customer call/contact centers
- MLOps background
Job Description
- Our client is an enterprise telecommunications and connectivity company, and this role sits within their Data Science team.
- This role is dedicated to a projected focused on improving resolution recommendations to Field Technicians who are installing equipment and troubleshooting issues at the customer site. The technician’s use a sophisticated mobile app, and this team has implemented a voice to text model for technicians to record what they did on the job. The recording is transcribed into text and processed into an LLM.
- The goal is to create high quality resolution categories for technicians, and gleaming better insights from each voice summary. This team is building the disposition model, and when technician’s go to do a new install, they will easily be able to access brief notes and the history of what has been done at that particular location. It will eventually make predictions as well.
- This Software Developer is going to help with more getting the model into production, setting up scalable processes, create monitoring frameworks and metrics, provide automation, and CI/CD deployments.
- Initially, there will be discovery and collaborating with business stakeholders and field tech teams to identify the granularity of each job in order to build a classification model.
- This will be an iterative engagement to provide continuous improvement on predictions
The pay rate for this role varies depending on level and years of experience and will range from $65-$70/hour.
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