IMR Soft LLC
Overview
Technical Architect – Artificial Intelligence Auburn Hills, MI 18+ Months contract Note:
This description outlines the responsibilities and qualifications for a Technical Architect with AI/ML specialization focusing on chatbot solutions and Google AI products. 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. 8+ years of experience in AI/ML architecture, with at least 5 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 (Google Cloud Platform). 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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Technical Architect – Artificial Intelligence Auburn Hills, MI 18+ Months contract Note:
This description outlines the responsibilities and qualifications for a Technical Architect with AI/ML specialization focusing on chatbot solutions and Google AI products. 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. 8+ years of experience in AI/ML architecture, with at least 5 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 (Google Cloud Platform). 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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