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Data Engineering and AI Lead: Unlocking Business Insights
2 months ago
We are seeking an experienced AI Engineering Lead to join our team at Definity. As a key member of our engineering team, you will play a pivotal role in driving innovation and transforming data processes to unlock business insights.
Key Responsibilities- Transcription Automation: Utilize advanced technologies to transcribe high volumes of phone calls accurately, setting up, maintaining, and fine-tuning the transcription system to ensure high accuracy and efficiency.
- Pipeline Development: Design and build robust data pipelines using Google Cloud's Dataflow service, architecting and deploying scalable and fault-tolerant pipelines that can process streaming and batch data.
- Service Integration: Implement and manage Kafka-based messaging systems to enable asynchronous communication between disparate services, configuring topics, partitions, and consumer groups to ensure seamless data flow.
- AI-Driven Summarization: Integrate Google PaLM (LLM) to generate concise and relevant summaries from large datasets, requiring a blend of machine learning knowledge and creativity to train models that can identify key information.
- AI and Machine Learning: Apply artificial intelligence techniques, particularly in natural language processing, to create models that can understand and summarize complex text data.
- Cloud Computing: Leverage Google Cloud Platform (GCP) for hosting services, data storage, and computation needs, ensuring the infrastructure is scalable and cost-effective.
- Natural Language Understanding (NLU): Utilize NLU to enhance the interaction between humans and machines, particularly in transcription and summarization tasks.
- Containerization: Employ Docker to containerize applications, ensuring consistency across multiple development, testing, and production environments.
- Infrastructure as Code: Use Terraform for defining, launching, and managing infrastructure resources in a repeatable and efficient manner.
- Programming: Demonstrate proficiency in Python for scripting, automation, and data manipulation tasks.
- Bachelor's Degree: In computer science, engineering, or a related field.
- Proven Experience: With cloud services, data processing, and streaming technologies.
- Strong Analytical Skills: And problem-solving skills.
- Collaborative Environment: Ability to work collaboratively in a fast-paced, team-oriented environment.
- Excellent Communication Skills: Verbal and written communication skills.
- Minimum 3-5 Years Experience: In cloud (Google) data engineering and AI.
- 7-10+ Years in Technology: With a strong background in software development and engineering.
