AI Engineering Lead

Job Description As a AI Engineering Lead, you will be at the forefront of technological innovation, working with advanced tools and platforms to transform and optimize data processes. You will play a pivotal role in extracting valuable insights from complex data sets to drive decision-making and strategy. Key Responsibilities: Transcription Automation: Utilize the Whisper technology to transcribe high volumes of phone calls accurately. This involves setting up, maintaining, and fine-tuning the transcription system to ensure high accuracy and efficiency in converting spoken words into written form. Pipeline Development: Design and build robust data pipelines using Google Cloud's Dataflow service. This includes architecting and deploying scalable and fault-tolerant pipelines that can process streaming and batch data, ensuring data integrity and enabling real-time analytics. Service Integration: Implement and manage Kafka-based messaging systems to enable asynchronous communication between disparate services. This involves configuring topics, partitions, and consumer groups to ensure that data flows seamlessly and securely between microservices. AI-Driven Summarization: Integrate Google PaLM (LLM) to generate concise and relevant summaries from large datasets. This task requires a blend of machine learning knowledge and creativity to train models that can identify key information and present it in a user-friendly format. Skills and Technologies: 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 the 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. Qualifications: Bachelor’s degree in computer science, Engineering, or a related field. Proven experience with cloud services, data processing, and streaming technologies. Strong analytical and problem-solving skills. Ability to work collaboratively in a fast-paced, team-oriented environment. Excellent verbal and written communication skills. Minimum 3-5 years experience in cloud (Google) Data engineering and AI, with 7-10+ years in Technology. Salary Range: $77,700 - $157,000 About Us We’re actively seeking diverse backgrounds and perspectives to help us make insurance better. At Definity, inclusion, diversity, and equity aren’t just “nice to have” — they’re essential to our success. #J-18808-Ljbffr