Technical Architect on W2
6 days ago
Job Description:
We are seeking an experienced Senior Technical Architect with expertise in Artificial Intelligence (AI) and Machine Learning (ML), specializing in Google's suite of AI products. The ideal candidate will have a proven track record in designing and implementing advanced chatbot solutions that serve as intelligent agents, capable of providing information from company-approved data sources tailored to specific customer needs.
Key Responsibilities:
- Lead the architecture and design of AI/ML solutions, with a primary focus on chatbot development using Google's AI products.
- Develop sophisticated chatbots that can act as intelligent agents, integrating with company-approved data sources to provide accurate and relevant information to customers.
- Design and implement natural language processing (NLP) and natural language understanding (NLU) systems to enhance chatbot interactions.
- Architect scalable and secure solutions for deploying AI models and chatbots in production environments.
- Collaborate with data scientists, software engineers, and product managers to align AI solutions with business objectives and customer needs.
- Evaluate and integrate various data sources, ensuring chatbots can access and utilize company-approved information effectively.
- Implement personalization and context-aware features in chatbots to enhance user experience.
- Develop strategies for continuous improvement of chatbot performance through machine learning and user feedback.
- Ensure compliance with data privacy regulations and company policies in all AI/ML implementations.
- Provide technical leadership and mentoring to the AI/ML development team.
- Prior experience of tread reporting is mandatory
- Prior experience of NHTSA is mandatory
Qualifications:
- Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- 10+ years of experience in AI/ML architecture, with at least 7 years focusing on chatbot development.
- Extensive experience with Google's AI products, including but not limited to:
- Google Cloud AI Platform
- Dialogflow
- Cloud Natural Language API
- Cloud Translation API
- TensorFlow
- Proven track record of designing and implementing successful chatbot solutions that serve as intelligent agents.
- Strong understanding of NLP, NLU, and machine learning algorithms.
- Experience integrating chatbots with various data sources and APIs.
- Proficiency in programming languages commonly used in AI/ML development (e.g., Python, Java, Go).
- Familiarity with cloud platforms, preferably Google Cloud Platform (GCP).
- Knowledge of data privacy regulations and best practices for secure AI implementations."
Additional Qualifications:
- Experience with other cloud platforms (AWS, Azure) and their AI services.
- Familiarity with conversational AI design principles and user experience best practices.
- Knowledge of MLOps practices and tools for managing AI/ML lifecycles.
- Experience with speech recognition and text-to-speech technologies.
- Understanding of knowledge graph technologies and semantic web concepts.
- Familiarity with reinforcement learning techniques for chatbot optimization.
Soft Skills:
- Excellent communication skills, able to explain complex AI concepts to both technical and non-technical stakeholders.
- Strong problem-solving and analytical skills.
- Ability to lead and mentor technical teams.
- Customer-focused mindset with a keen understanding of user needs and expectations.
- Adaptability and willingness to stay current with rapidly evolving AI technologies.
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