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Job Description
As a Software Engineer, your main role will be to harness the power of AI and machine learning to analyze large datasets of voice recordings. You'll develop algorithms to process speech, extract meaningful data, and automate decision-making processes. This role will focus heavily on AI-driven insights, speech recognition, and sentiment analysis to provide actionable data for business improvement.
Responsibilities include:
- Develop and implement AI models for speech-to-text conversion and sentiment analysis.
- Build data pipelines for processing and analyzing large volumes of voice data.
- Use machine learning algorithms to extract insights from voice recordings, such as customer sentiment, intent, and key topics.
- Collaborate with cross-functional teams to drive AI-powered solutions that improve customer service.
- Design automated systems to categorize and route calls based on analysis of recorded conversations.
- Work with stakeholders to design intuitive data visualizations and reports for actionable insights.
- Continuously improve AI models and algorithms for greater accuracy and efficiency.
Job Requirements
- Strong background in AI, machine learning, or data science, with a focus on speech data.
- Experience with speech recognition technologies, NLP, or sentiment analysis.
- Proficiency in programming languages such as Python or Java.
- Familiarity with AI frameworks (TensorFlow, Py Torch, etc.) and data processing libraries.
- Experience working with cloud-based AI services (AWS, GCP, Azure).
- Strong problem-solving skills and ability to innovate in the AI space.
- Excellent communication and collaboration skills.
- Preferred Qualifications:
- Experience with large-scale data analysis and natural language processing.
- Familiarity with customer service or call center environments.
- Previous experience deploying AI models in production environments.
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