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Conversational Ai Lead Engineer Jobs in New York, New York

Ai / Ml Engineer Jobs
By WWA Consulting At New York, United States
5+ years of professional software development experience.
A passion for data and experience in applying that passion to high quality data products.
Extensive experience with entire software development cycle from design to deployment.
Strong knowledge of software engineering best practices, object oriented concepts, and the ins and outs of data-focused development.
Provide consultancy on how AI/ML can help with a team’s existing processes.
Conduct quantitative research and deliver insights related to NLP/Machine learning models.
Ai/Ml Engineer Jobs
By Signify Technology At New York, United States
4+ years of experience with Python and SQL
Must have experience working on products that use LLMs and/or prompt-engineering
Hybrid from NYC or Remote in the US (EST work hours)
2+ years of JavaScript preferred
Solutions Architect (Fintech)- Conversational Ai, Remote ! ! !
By Averity At New York, United States
• Knowledge or experience with AI, Machine Learning, or NLP are a huge plus
NO CONTRACTOR'S - - - Must be Citizen or GC, 100% Remote ! ! !
• 8+ years of hands on Java experience (you will be "in" the code)
• Comprehensive Benefits Package, including PTO
My client, via their digital platform, enables
required to do some coding in Java!
Senior Fintech Solutions Architect - Conversational Ai
By Averity At New York, United States
• Knowledge or experience with AI, Machine Learning, or NLP are a huge plus
• 8+ years of hands on Java experience (you will be "in" the code)
• Comprehensive Benefits Package, including PTO
My client, via their digital platform, enables
required to do some coding in Java.
What do you need to be successful in this role?
Ai Engineer (Ai Ethics)
By Sony Electronics At , New York, 10010, Ny
2+ years of industry experience in a software engineering role in supporting machine learning projects (open-source contributions are a plus!)
Experience working with different business stakeholders, such as researchers, engineers, lawyers, and compliance officers
Ability to deliver on tight deadlines and adapt to evolving or changing requirements
Implement, train, evaluate machine learning models
Curate, clean, handle machine learning datasets
Support the development of AI Ethics research projects from the ground up
Ai Prompt Engineer, Gt.school (Remote) - $100,000/Year Usd
By Crossover At Yonkers, NY, 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.
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
Senior Lead Engineer - Generative Ai Product Engineering (Remote-Eligible)
By Capital One At Atlanta, GA, 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
Ai/Ml Software Engineer
By Toyon Research Corporation At Goleta, CA, United States

U.S. Citizenship is Required. Ability to qualify for a US Department of Defense security clearance required. Toyon is seeking highly qualified AI/ML Software Engineer candidates to develop ...

Ai Solutions Engineer Jobs
By JobStack, Inc. At United States
Understanding how to build a requirements list based on customer outcomes around AI needs and across multiple verticals
Collaborate closely with the sales team to understand client requirements and create customized software solutions to meet their needs.
Conduct product presentations, live demos, and technical discussions both remotely and on-site.
Stay up-to-date with industry trends, technology advancements, and competitor offerings to effectively differentiate our products in the market.
Leads knowledge transfer sessions to educate customers and partners with the latest AI and IoT technical solutions, industry and product knowledge.
Minimum of 3 years of sales engineering experience in an AI / Computer Vision technology field.
Ai/Ml Engineer (Hybrid)
By Detroit Labs At Auburn Hills, MI, United States
5+ years of experience working with Machine Learning, AI, and natural language processing
Hands-on experience in applying Google ML/AI services to real-world projects
Experience with data gathering, data quality, system architecture, and coding best practices
Knowledge of grounding language models in context for coherent and relevant text generation
Problem-solving skills and ability to think creatively to develop innovative AI solutions
Strong communication skills to collaborate effectively with cross-functional teams and present complex technical concepts
Internship Opportunity: Ai/Ml Engineer
By Magen Consulting Group At United States
Eager to apply and expand their AI/ML skills on biological problems
Interested in leveraging knowledge graphs and LLMs
Looking to gain valuable experience for future opportunities in AI/ML
No prior biology experience needed.
Implement and test state-of-the-art natural language processing models like for biological applications
Develop machine learning pipelines to extract insights from biological datasets
Ai/Ml Software Engineer
By Toyon Research Corporation At Fort Collins, CO, United States

U.S. Citizenship is Required. Ability to qualify for a US Department of Defense security clearance required. Toyon is seeking highly qualified AI/ML Software Engineer candidates to develop ...

Ai Prompt Engineer Jobs
By Gannett At , Woodland Hills, 91367 $135,000 - $150,000 a year
Experience working with the Vertex.AI platform, including knowledge of its features, functionalities, and API integration.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Equivalent work experience will also be considered.
Proven experience as an AI Engineer or NLP Engineer, with a focus on developing AI models and working on NLP-related projects.
Strong expertise in AI prompt engineering, including experience with model fine-tuning, transfer learning, and data preprocessing for NLP tasks.
In-depth knowledge of NLP techniques, including text classification, entity recognition, sentiment analysis, and language generation.
Strong problem-solving skills and the ability to analyze complex data and algorithmic challenges.
Generative Ai Engineer Jobs
By IBL At United States

⬞ ...

Ai Prompt Engineer Jobs
By Gannett At , Remote $135,000 - $150,000 a year
Experience working with the Vertex.AI platform, including knowledge of its features, functionalities, and API integration.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Equivalent work experience will also be considered.
Proven experience as an AI Engineer or NLP Engineer, with a focus on developing AI models and working on NLP-related projects.
Strong expertise in AI prompt engineering, including experience with model fine-tuning, transfer learning, and data preprocessing for NLP tasks.
In-depth knowledge of NLP techniques, including text classification, entity recognition, sentiment analysis, and language generation.
Strong problem-solving skills and the ability to analyze complex data and algorithmic challenges.
Ml/Ai Engineer Jobs
By Neudesic At Irvine, CA, United States
Strong data wrangling skills and proven experience working with large, complex datasets.
Experience deploying models, operationalizing models into business processes.
Advanced knowledge of machine learning models and techniques (regression, classification, decision trees, clustering, and neural networks, etc.)
Proven experience building and deploying ML models in Azure cloud.
Experience with AI technologies, particularly OpenAI and GPT.
Experience with LangChain, Hugging Face.
Ai Engineer- Department Of Radiology
By Duke University At , Durham, 27710, Nc
Interfaces with relevant stakeholders to assist in lifecycle activities such as requirements gathering, research activities, and solution architecture and design.
If a Master's Degree: Requires three (3) years of relevant experience
If a Bachelor's Degree: Requires five (5) years of experience
Requires prior experience with R, Python, or other analytics/data mining tools, databases, and computer programming.
Requires prior experience in developing complex solutions utilizing programming and/or software tools.
Requires prior experience in building and deploying predictive models and other analytic translational research.
Software Engineer - Ai/Ml Services
By GSK At , San Francisco, Ca $121,448 - $164,312 a year

Important notice to Employment businesses/ Agencies

Conversational Ai Designer- Freelance [Remote]
By Braintrust At , Remote $100 - $123 an hour
Have a background in user experience design, customer service, content management, marketing, product design, or UX writing
LOCATION: Remote - United States only (Time Zone: EST | Partial overlap)
Two or more years of professional experience working with chatbots or voice assistants
Experienced with Agile methodology and team dynamics
Understand and work closely with developers using working knowledge technology
Location: NY/NJ preferred - but willing to consider strong remote candidates
Technical Program Manager - Conversational Ai
By Avaamo At United States
Excellent project management skills, with the ability to prioritize tasks, manage multiple projects, and meet deadlines.
Exceptional communication and interpersonal skills, with the ability to collaborate effectively with remote teams and stakeholders.
10-15 years of experience in the healthcare domain, preferably with exposure to EPIC EHR integrations.
Strong analytical and problem-solving abilities, with a data-driven approach to decision-making.
Knowledge of healthcare industry standards, regulations, and data security best practices.
Continuously evaluate project performance, metrics, and deliverables, implementing improvements and optimizations as necessary to meet project objectives.

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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