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Conversational Ai Lead Engineer Jobs in San Mateo, California

Sr Log Analyst (Conversational Ai))
By Greylock At San Francisco Bay Area, United States
Excellent analytical, communication, presentation, multi-tasking, and problem-solving skills
Previous experience working in AI / ML environments a strong plus (labeling, etc.)
Familiarity with SQL a plus
Bachelors degree in information science, library sciences, linguistics, literary analysis, professional writing, data analysis, philosophy, or a related field preferred
Senior Ai/Ml Engineer
By Tarana Wireless, Inc. At San Francisco Bay Area, United States
5-12 years of experience building large scale, ML/AI models
Experience re-incorporating feedback in your models
Experience with TensorFlow, PyTorch, etc. at scale
Experience with Large Language Models and tools a plus
Model visualization, explanation and tracking
Data tracking and quality monitoring
Ai Engineer Jobs
By Share Creators At Burlingame, CA, United States
1.Education background: Bachelor's degree in computer science, electrical engineering, mathematics or related fields；Master's or PhD degree preferred.
4. Project experience: Experience in completing artificial intelligence projects independently, such as computer vision, speech recognition, etc.
1. Responsible for designing, developing and maintaining artificial intelligence systems.
2. Develop AI models using machine learning, deep learning and computer vision.
3. Evaluate the performance and accuracy of the AI system and propose improvement plans.
5. Tracking the latest development of AI technology and proposing new application directions.
Software Engineer - Ai/Ml
By Snorkel AI At Redwood City, CA, United States
4+ years experience in delivering distributed and ML systems and services in a production setting for cloud-native applications
Experience with distributed compute frameworks and deep learning frameworks
Strong communication and coding skills with emphasis on designing for scale and robustness
Experience owning the delivery of large multi-person projects
8+ years of professional software engineering experience
Experience with architecting and developing production web-scale systems (monitoring, telemetry, performance, reliability, triage and debug)
Software Engineer Ai/Ml
By Addy AI At San Francisco Bay Area, United States

We are seeking a highly motivated and skilled software engineer with expertise in Artificial Intelligence/Machine Learning (AI/ML) and Natural Language Processing (NLP). The ideal candidate will have ...

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 ...

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.
Software Engineer - Ai/Ml Services
By GSK At , San Francisco, Ca $121,448 - $164,312 a year

Important notice to Employment businesses/ Agencies

Ml/Ai Engineer Jobs
By Air AI At San Francisco, CA, United States
Bonus: Brings experience with real-time audio models. This would have significant impact on our operations in audio processing.
Bonus: Experience or past work demonstrating quick iterations for implementing recent publications.
Constantly focuses on improving existing models, as opposed to pioneering new research.
30,000 Foot View On Air:
You are on a floating rock in the middle of the universe.
And every “all time great” team throughout history has 2 similarities:
Sr. Data Engineer - Ai/Ml
By Stanford Health Care At Palo Alto, CA, United States
Knowledge of resource management and automation approaches such as workflow runners.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related, or equivalent working experience
Experience with cloud deployment strategies and CI/CD
Experience building and working with data infrastructure in a SaaS environment
Experience overseeing, developing or implementing machine learning operations (MLOps) processes.
Experience working with healthcare data.
Lead Product Manager - Ai Applications
By Zoom At San Jose, CA, United States
Project Management experience and skills
Lead interaction with Technical Team - Including helping the technical team make tradeoffs based on customer requirements, QA/testing of the product
Conduct essential customer and partner briefings, and communicate strategy, roadmap, and status. Oversee and manage strategic product-related engagements, commitments, and escalations.
Incorporate data, research, and market analysis to inform product requirements and prioritization.
Deeply knowledgeable and curious about the Generative AI space
Strong verbal and presentation skills with consultative professional business acumen.
Ai Solution Engineer Jobs
By AITOMATIC, Inc. At Palo Alto, CA, United States
High proficiency in data management, data analysis, and predictive modeling in Python
Education or experience in Physics or Mechanical Engineering
Machine Learning / Deep Learning work experience
Experience integrating ML models into production systems
Education: Master’s degree or higher in Computer Science, Computer Engineering, Physics, or other science/engineering disciplines
Plan, manage and execute at a fast-pace while maintaining high quality standards
Ai Lead Jobs
By Got It, Inc. At Palo Alto, CA, United States
- Passion for STEM education and a desire to make a positive impact on the learning experience
- Develop and fine-tune AI models to create a seamless and effective online tutoring experience
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
- Leadership experience in managing technical teams
- Experience or familiarity with online tutoring and understanding how a good online tutor interacts with students
Ai Product Engineer Jobs
By Semgrep At San Francisco, CA, United States
Experience hacking with GPT-4, Codex, or other LLMs
Experience with ML algorithms and/or research
Experience working in a startup or fast-paced environment, comfortable with discarding prototypes weekly
Code security interest is a plus but not a requirement
College degree is not a requirement
Integrate AI platform APIs into the product
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 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.
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.
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.
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.
Ai Innovation Engineer Jobs
By McKinney At Durham, NC, United States
Manage and direct processes and R&D to meet the needs of our AI strategy
Understand agency and client challenges and how integrating AI capabilities can help lead to solutions
Design and develop AI models to meet project requirements
Manage a team in conducting assessments of the AI and automation market and competitor landscape
Two or more years of experience in applying AI to practical and comprehensive technology solutions
Experience with ML, deep learning, NLP
Ai Reverse Engineer Jobs
By Self At Austin, Texas Metropolitan Area, United States

Finding my own gig as in getting hired. Please don’t apply to this role. I’m dyslexic and LinkedIn’s system is accommodating.

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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