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Conversational Ai Lead Engineer Jobs in Massachusetts

Senior Lead Engineer - Generative Ai Product Engineering (Remote-Eligible)
By Capital One At Cambridge, MA, United States
Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities
Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience..
Enable our users to build new AI capabilities
At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques.
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing training and inferencing APIs for deep neural networks
Lead Ai/Ml Engineer, Bioinformatics
By GSK At Cambridge, MA, United States
Experience/knowledge of antibody and/or small molecule drug discovery, developability, and validation.
Proficiency in Python and hands-on experience with machine learning libraries such as Scikit-Learn, TensorFlow, and PyTorch.
Knowledge of deep learning techniques, such as, CNN, RNN, autoencoder, backpropagation, transformers/large language model.
Super problem-solving and analytical skills, with the ability to propose creative and efficient solutions.
Excellent written and oral communication skills, and ability to optimally communicate technical findings with stakeholders.
Familiar with transformer/Large language model with hands-on experience of developing or applying predictive models in health care industry.
Ai Prompt Engineer, Gt.school (Remote) - $100,000/Year Usd
By Crossover At Lowell, MA, United States
Evaluate the quality and educational effectiveness of the content produced by our AI systems against defined quality bars, in structured datasets.
Troubleshoot and resolve issues related to AI-generated content to ensure a seamless learning experience for our students.
Experience with generative AI for producing content - you already understand the limitations, pitfalls, and best practices.
Basic coding skills (AP Computer Science A level is enough)
AI Prompt Engineer key responsibilities
Design, develop, and refine generative AI prompts for AP, SAT, and K-12 for a wide range of subjects.
Director Of Ai Jobs
By Stealth Startup At Boston, MA, United States

Job Title: Director of AI Company: Stealth Mode Location: Boston, Ma About Us: We are launching a venture studio that specializes in launching innovative and groundbreaking companies focused on ...

Are you an experienced Conversational AI Lead Engineer looking for a new challenge? We are looking for a talented engineer to join our team and help us create the next generation of conversational AI technology. You will be responsible for leading the development of our AI-driven chatbot platform, and will have the opportunity to work with cutting-edge technologies and collaborate with a team of experts in the field. If you are passionate about AI and have a strong technical background, this could be the perfect opportunity for you!

Overview:

A Conversational AI Lead Engineer is responsible for developing and managing the development of AI-based conversational systems. This includes developing and managing the development of natural language processing (NLP) and machine learning (ML) algorithms, as well as developing and managing the development of conversational AI applications.

Detailed Job Description:

The Conversational AI Lead Engineer will be responsible for leading the development of AI-based conversational systems. This includes developing and managing the development of natural language processing (NLP) and machine learning (ML) algorithms, as well as developing and managing the development of conversational AI applications. The Lead Engineer will also be responsible for researching and evaluating new technologies and trends in the field of AI, and for developing and maintaining relationships with external partners and vendors.

What is Conversational Ai Lead Engineer Job Skills Required?

• Expertise in natural language processing (NLP) and machine learning (ML) algorithms
• Knowledge of AI-based conversational systems
• Knowledge of AI-based conversational applications
• Knowledge of AI-based conversational platforms
• Knowledge of AI-based conversational analytics
• Knowledge of AI-based conversational user experience
• Knowledge of AI-based conversational user interface design
• Knowledge of AI-based conversational user testing
• Knowledge of AI-based conversational user research
• Knowledge of AI-based conversational user engagement
• Knowledge of AI-based conversational user feedback
• Knowledge of AI-based conversational user segmentation
• Knowledge of AI-based conversational user targeting
• Knowledge of AI-based conversational user personalization
• Knowledge of AI-based conversational user optimization
• Knowledge of AI-based conversational user experience optimization
• Knowledge of AI-based conversational user experience design
• Knowledge of AI-based conversational user experience testing
• Knowledge of AI-based conversational user experience research
• Knowledge of AI-based conversational user experience engagement
• Knowledge of AI-based conversational user experience feedback
• Knowledge of AI-based conversational user experience segmentation
• Knowledge of AI-based conversational user experience targeting
• Knowledge of AI-based conversational user experience personalization
• Knowledge of AI-based conversational user experience optimization
• Knowledge of AI-based conversational user experience analytics
• Knowledge of AI-based conversational user experience optimization
• Knowledge of AI-based conversational user experience design
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