AI Engineering Lead

Job Description As an 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. 7-10+ years in Technology. Salary range: $77,700 - $157,000 About Us Interested in this role, but don’t meet every requirement? We encourage you to apply! We know from experience that a candidate doesn’t need 100% of the qualifications listed to bring incredible value to our team. We’re actively seeking diverse backgrounds and perspectives to help us make insurance better. What’s in it for you? Hybrid work schedule for most roles. Company share ownership program. Pension and savings programs, with company-matched RRSP contributions. Paid volunteer days and company matching on charitable donations. Educational resources, tuition assistance, and paid time off to study for exams. Focus on inclusion with employee groups, support for gender affirmation surgery, access to BIPOC counsellors, access to programs for working parents. Wellness and recognition programs. Discounts on products and services. Background checks This role requires successful clearance of background checks (including criminal checks and leadership references). #J-18808-Ljbffr