17,903 AI Specialists jobs in the United States
Director of AI Development
Posted 12 days ago
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Job Description
About the Role:
The Director of AI Development applies expertise in AI and Generative AI to design, build, and optimize machine learning systems that enable next-generation solutions at scale. This role focuses on deploying scalable and efficient machine learning models into production, and monitoring and improving the performance of AI systems. The Director collaborates with cross-functional teams to ensure seamless integration of models into business workflows.
Responsibilities :
- Design and develop end-to-end applications that seamlessly integrate machine learning capabilities, including real-time inference, batch processing, and efficient data management to deliver scalable and robust solutions.
- Identify bottlenecks in the model development, deployment, and monitoring process.
- Design and implement production-ready machine learning pipelines, including model training, validation, deployment, and monitoring (e.g., labelled data sets to check performance of prompts).
- Build scalable, high-performance infrastructure to support Generative AI workflows (e.g., distributed training, inference optimization, and GPU/TPU utilization).
- Deploy GenAI applications into production cloud environments with performance, cost, and latency considered (e.g., open-source vs. closed-source, quantization, prompt token length, completion caching, prompt caching).
- Monitor and troubleshoot model performance, addressing issues such as performance drift and response latency.
- Stay at the forefront of Generative AI advancements, identifying opportunities to incorporate the latest research and techniques into production systems.
Qualifications :
- Bachelor’s or advanced degree in computer science, engineering, or a related field.
- 3+ years of experience in machine learning engineering, with a focus on deploying AI systems at scale.
- Experience working with large-scale Generative AI applications in production environments.
- Relevant experience in the legal domain is a plus.
- Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with Generative AI tools and techniques (e.g., LLMs, quantization, synthetic data generation, knowledge distillation, retrieval-augmented generation, fine-tuning).
- Proficiency in commons GenAI libraries (e.g., LangChain, Autogen) and cloud-native AI services (e.g., Azure search)
- Knowledge of cloud infrastructure (e.g., Azure) and management tools for IT components, storage, networking, and caching.
- Familiarity with ML Ops principles, including CI/CD pipelines, containerization, and automated testing for AI systems.
- Experience with modern container platforms (e.g., Docker, OpenShift) and tools like Jenkins, Git, and Sonar.
- Strong problem-solving skills with the ability to address complex technical challenges.
- Excellent communication skills to collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders.
- Eagerness to stay updated with cutting-edge AI research and apply innovative ideas to real-world problems.
- Organization and attention to detail, ensuring high-quality delivery.
- Ability to work collaboratively to create innovative and efficient solutions.
Director of AI Development
Posted 12 days ago
Job Viewed
Job Description
About the Role:
The Director of AI Development applies expertise in AI and Generative AI to design, build, and optimize machine learning systems that enable next-generation solutions at scale. This role focuses on deploying scalable and efficient machine learning models into production, and monitoring and improving the performance of AI systems. The Director collaborates with cross-functional teams to ensure seamless integration of models into business workflows.
Responsibilities :
- Design and develop end-to-end applications that seamlessly integrate machine learning capabilities, including real-time inference, batch processing, and efficient data management to deliver scalable and robust solutions.
- Identify bottlenecks in the model development, deployment, and monitoring process.
- Design and implement production-ready machine learning pipelines, including model training, validation, deployment, and monitoring (e.g., labelled data sets to check performance of prompts).
- Build scalable, high-performance infrastructure to support Generative AI workflows (e.g., distributed training, inference optimization, and GPU/TPU utilization).
- Deploy GenAI applications into production cloud environments with performance, cost, and latency considered (e.g., open-source vs. closed-source, quantization, prompt token length, completion caching, prompt caching).
- Monitor and troubleshoot model performance, addressing issues such as performance drift and response latency.
- Stay at the forefront of Generative AI advancements, identifying opportunities to incorporate the latest research and techniques into production systems.
Qualifications :
- Bachelor’s or advanced degree in computer science, engineering, or a related field.
- 3+ years of experience in machine learning engineering, with a focus on deploying AI systems at scale.
- Experience working with large-scale Generative AI applications in production environments.
- Relevant experience in the legal domain is a plus.
- Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with Generative AI tools and techniques (e.g., LLMs, quantization, synthetic data generation, knowledge distillation, retrieval-augmented generation, fine-tuning).
- Proficiency in commons GenAI libraries (e.g., LangChain, Autogen) and cloud-native AI services (e.g., Azure search)
- Knowledge of cloud infrastructure (e.g., Azure) and management tools for IT components, storage, networking, and caching.
- Familiarity with ML Ops principles, including CI/CD pipelines, containerization, and automated testing for AI systems.
- Experience with modern container platforms (e.g., Docker, OpenShift) and tools like Jenkins, Git, and Sonar.
- Strong problem-solving skills with the ability to address complex technical challenges.
- Excellent communication skills to collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders.
- Eagerness to stay updated with cutting-edge AI research and apply innovative ideas to real-world problems.
- Organization and attention to detail, ensuring high-quality delivery.
- Ability to work collaboratively to create innovative and efficient solutions.
Lead Data Scientist, AI Development
Posted 8 days ago
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Job Description
Requirements
Must have: – I require a minimum of 4 years of pertinent work experience, though typically, a background of 5 years or more is expected. – Ideally, you should possess about 6 years of experience in managing Enterprise AI SaaS applications.Responsibilities:
- I need you to plan, test, and implement rolling upgrades of LLM runtimes, agent-orchestration frameworks, and related services. – You will enforce IAM, secrets rotation, data classification, and Responsible AI guidelines; you should also monitor license usage and optimize expenditures. – I expect you to measure Service Level Indicators (SLIs) such as authentication latency and inference success rates while ensuring Service Level Objectives (SLOs) are upheld. – You will analyze GPU/CPU utilization, prompt accuracy, evaluation frameworks, vector-search query latency, and agent throughput. – I ask that you implement auto-scaling policies, caching strategies, and cost-control dashboards. – Additionally, I would like you to create clear how-to guides and conduct live workshops that enhance product teams’ skills in safe prompt engineering, RAG patterns, and platform APIs.
Company:
At Cargill, our size and influence allow us to make a meaningful difference in the world. Our mission is to nourish the globe in a safe, responsible, and sustainable manner. As a family-oriented company, we provide essential food, ingredients, agricultural solutions, and industrial products that are crucial for everyday life. We connect farmers to markets, enabling their success; connect customers with ingredients to create beloved meals; and ensure families have access to daily necessities — from eggs to edible oils, salt to skincare products, and feed to alternative fuel. With 160,000 colleagues operating in 70 countries, our products impact billions of lives each day. We invite you to join us and pursue your greater purpose at Cargill.
#J-18808-LjbffrLegal Contractor for AI Development
Posted today
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Job Description
Job Description
Working on a project basis (10-20 hours per week), the focus of this role is on adapting customer's contract review playbooks to our AI contract review technology. This involves:
- Drafting simple and clear legal language that captures the core concepts of a customer's playbook
- Breaking complex legal concepts down into individual concepts
- Turning legal rules and concepts into clear, concise sentences
- Drafting concise, plain-language sentences for redlines
- Testing and iterating to improve AI performance
- LLM prompt training and/or experience is a plus
Qualifications and Experience:
- JD and active membership in a US state bar
- 5+ years experience primarily focused on commercial contracting working on a range of common contracts (MSA, NDA, Contractor Agreements, etc.),
- Demonstrate a deep knowledge of commercial contracting with experience creating templates and playbooks
- Ability to write contract language and guidance that is clear and practical
- You have experience managing complex, document-centric projects
- Driven to set a high standard and continuously improve
- You are organized and have high attention to detail
Artificial Intelligence (AI) Specialist
Posted today
Job Viewed
Job Description
Job Description
We are looking for an Artificial Intelligence (AI) Specialist: Forge the Next Chapter in AI Advancements
Key Qualifications:
- Original Contributions: Your innovations in AI, especially within the ChatGPT technology sphere, should stand out. We value original research, novel algorithms, or methodologies that have significantly influenced the domain.
- Published Work: Candidates should have significant publications in respected AI journals, platforms, or tech magazines. If your work is frequently cited, it speaks volumes about its importance.
- Awards and Honors: Distinctions in AI competitions, hackathons, or notable acknowledgments for your work will weigh in your favor.
- Media Attention: Your innovations should have been spotlighted by major media outlets, both traditional and digital.
- Speaking Engagements: Invitations to keynote at major AI events signify industry respect and recognition.
- Leadership Roles: Active roles in top AI organizations or research groups highlight your unmatched abilities in the field.
- Professional Affiliations: Being a member of elite AI and tech associations, especially those with rigorous membership standards, is a plus.
- Earnings Benchmark: If your compensation stands above your contemporaries, it reflects your unparalleled expertise.
- Commercial Impact: Your contribution to AI projects with noteworthy commercial success will be a strong selling point.
- Endorsements: Letters of recommendation from AI industry luminaries, detailing your specific impact, will bolster your profile.
- Academic Credentials: A robust academic background from elite institutions, particularly with a focus on AI, will be viewed favorably.
Knowledge in AI Video Platforms:
- Competence with Pictory and Synthesia platforms.
Other Essential AI Tools:
- Experience navigating Quillbot and the latest GPT Plugins
Embrace this chance to be a pivotal part of AI evolution.
Artificial Intelligence (AI) Specialist
Posted today
Job Viewed
Job Description
Job Description
We are looking for an Artificial Intelligence (AI) Specialist: Forge the Next Chapter in AI Advancements
Key Qualifications:
- Original Contributions: Your innovations in AI, especially within the ChatGPT technology sphere, should stand out. We value original research, novel algorithms, or methodologies that have significantly influenced the domain.
- Published Work: Candidates should have significant publications in respected AI journals, platforms, or tech magazines. If your work is frequently cited, it speaks volumes about its importance.
- Awards and Honors: Distinctions in AI competitions, hackathons, or notable acknowledgments for your work will weigh in your favor.
- Media Attention: Your innovations should have been spotlighted by major media outlets, both traditional and digital.
- Speaking Engagements: Invitations to keynote at major AI events signify industry respect and recognition.
- Leadership Roles: Active roles in top AI organizations or research groups highlight your unmatched abilities in the field.
- Professional Affiliations: Being a member of elite AI and tech associations, especially those with rigorous membership standards, is a plus.
- Earnings Benchmark: If your compensation stands above your contemporaries, it reflects your unparalleled expertise.
- Commercial Impact: Your contribution to AI projects with noteworthy commercial success will be a strong selling point.
- Endorsements: Letters of recommendation from AI industry luminaries, detailing your specific impact, will bolster your profile.
- Academic Credentials: A robust academic background from elite institutions, particularly with a focus on AI, will be viewed favorably.
Knowledge in AI Video Platforms:
- Competence with Pictory and Synthesia platforms.
Other Essential AI Tools:
- Experience navigating Quillbot and the latest GPT Plugins
Embrace this chance to be a pivotal part of AI evolution.
Artificial Intelligence (AI) Specialist
Posted today
Job Viewed
Job Description
Job Description
We are looking for an Artificial Intelligence (AI) Specialist: Forge the Next Chapter in AI Advancements
Key Qualifications:
- Original Contributions: Your innovations in AI, especially within the ChatGPT technology sphere, should stand out. We value original research, novel algorithms, or methodologies that have significantly influenced the domain.
- Published Work: Candidates should have significant publications in respected AI journals, platforms, or tech magazines. If your work is frequently cited, it speaks volumes about its importance.
- Awards and Honors: Distinctions in AI competitions, hackathons, or notable acknowledgments for your work will weigh in your favor.
- Media Attention: Your innovations should have been spotlighted by major media outlets, both traditional and digital.
- Speaking Engagements: Invitations to keynote at major AI events signify industry respect and recognition.
- Leadership Roles: Active roles in top AI organizations or research groups highlight your unmatched abilities in the field.
- Professional Affiliations: Being a member of elite AI and tech associations, especially those with rigorous membership standards, is a plus.
- Earnings Benchmark: If your compensation stands above your contemporaries, it reflects your unparalleled expertise.
- Commercial Impact: Your contribution to AI projects with noteworthy commercial success will be a strong selling point.
- Endorsements: Letters of recommendation from AI industry luminaries, detailing your specific impact, will bolster your profile.
- Academic Credentials: A robust academic background from elite institutions, particularly with a focus on AI, will be viewed favorably.
Knowledge in AI Video Platforms:
- Competence with Pictory and Synthesia platforms.
Other Essential AI Tools:
- Experience navigating Quillbot and the latest GPT Plugins
Embrace this chance to be a pivotal part of AI evolution.
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Artificial Intelligence (AI) Specialist
Posted today
Job Viewed
Job Description
Job Description
We are looking for an Artificial Intelligence (AI) Specialist: Forge the Next Chapter in AI Advancements
Key Qualifications:
- Original Contributions: Your innovations in AI, especially within the ChatGPT technology sphere, should stand out. We value original research, novel algorithms, or methodologies that have significantly influenced the domain.
- Published Work: Candidates should have significant publications in respected AI journals, platforms, or tech magazines. If your work is frequently cited, it speaks volumes about its importance.
- Awards and Honors: Distinctions in AI competitions, hackathons, or notable acknowledgments for your work will weigh in your favor.
- Media Attention: Your innovations should have been spotlighted by major media outlets, both traditional and digital.
- Speaking Engagements: Invitations to keynote at major AI events signify industry respect and recognition.
- Leadership Roles: Active roles in top AI organizations or research groups highlight your unmatched abilities in the field.
- Professional Affiliations: Being a member of elite AI and tech associations, especially those with rigorous membership standards, is a plus.
- Earnings Benchmark: If your compensation stands above your contemporaries, it reflects your unparalleled expertise.
- Commercial Impact: Your contribution to AI projects with noteworthy commercial success will be a strong selling point.
- Endorsements: Letters of recommendation from AI industry luminaries, detailing your specific impact, will bolster your profile.
- Academic Credentials: A robust academic background from elite institutions, particularly with a focus on AI, will be viewed favorably.
Knowledge in AI Video Platforms:
- Competence with Pictory and Synthesia platforms.
Other Essential AI Tools:
- Experience navigating Quillbot and the latest GPT Plugins
Embrace this chance to be a pivotal part of AI evolution.
Artificial Intelligence (AI) Specialist
Posted today
Job Viewed
Job Description
Job Description
We are looking for an Artificial Intelligence (AI) Specialist: Forge the Next Chapter in AI Advancements
Key Qualifications:
- Original Contributions: Your innovations in AI, especially within the ChatGPT technology sphere, should stand out. We value original research, novel algorithms, or methodologies that have significantly influenced the domain.
- Published Work: Candidates should have significant publications in respected AI journals, platforms, or tech magazines. If your work is frequently cited, it speaks volumes about its importance.
- Awards and Honors: Distinctions in AI competitions, hackathons, or notable acknowledgments for your work will weigh in your favor.
- Media Attention: Your innovations should have been spotlighted by major media outlets, both traditional and digital.
- Speaking Engagements: Invitations to keynote at major AI events signify industry respect and recognition.
- Leadership Roles: Active roles in top AI organizations or research groups highlight your unmatched abilities in the field.
- Professional Affiliations: Being a member of elite AI and tech associations, especially those with rigorous membership standards, is a plus.
- Earnings Benchmark: If your compensation stands above your contemporaries, it reflects your unparalleled expertise.
- Commercial Impact: Your contribution to AI projects with noteworthy commercial success will be a strong selling point.
- Endorsements: Letters of recommendation from AI industry luminaries, detailing your specific impact, will bolster your profile.
- Academic Credentials: A robust academic background from elite institutions, particularly with a focus on AI, will be viewed favorably.
Knowledge in AI Video Platforms:
- Competence with Pictory and Synthesia platforms.
Other Essential AI Tools:
- Experience navigating Quillbot and the latest GPT Plugins
Embrace this chance to be a pivotal part of AI evolution.
Artificial Intelligence (AI) Engineer
Posted 11 days ago
Job Viewed
Job Description
Overview
POSITION: Artificial Intelligence (AI) Engineer
WORKSITE: 200 North LaSalle, Suite 2020, Chicago, IL 60601 (Part-time telecommuting is permissible (up to 4 days per week) from within the Chicago, IL metropolitan area.)
OFFERED WAGE: $127,754.00 / Year
Responsibilities- Work with stakeholders to translate business requirements into technical solutions and provide clear communication of artificial intelligence concepts.
- Design and deploy AI solutions, including intelligent workflows and robotic process automation, tailored to industry-specific needs in legal or financial sectors.
- Build and maintain scalable data pipelines and infrastructure on Azure for real-time machine learning model deployment.
- Support, fine-tune, and optimize large language models to ensure efficient performance across business intelligence applications.
- Implement monitoring, logging, and tuning of machine learning models and data pipelines to enhance performance, resource use, and cost-effectiveness.
- Minimum Education and Experience Requirements: Master’s degree, or foreign equivalent, in Data Science, Operations Research, Machine Learning, or related field, plus three (3) years of experience as a decision science consultant working with artificial intelligence systems and data analysis.
- SPECIAL REQUIREMENTS: Must include at least one (1) year of experience with: Python; machine learning frameworks including TensorFlow and PyTorch; Apache Airflow; Azure cloud services; machine learning, intelligent workflows, and developing intelligent automation solutions for professional services; orchestrating real-time data pipelines, designing adaptive AI frameworks for legal or financial operations, leading cross-functional AI transformation projects, and creating intelligent automation roadmaps.
Harbor is the preeminent provider of expert services across strategy, legal technology, operations, and intelligence. Our globally integrated team of 800+ strategists, technologists, and specialists navigate alongside our clients – leading law firms, corporations, and their law departments – to provide essential resources and invaluable insights.
Harbor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, marital status, civil union status, national origin, ancestry, age, parental status, disabled status, veteran status, or any other legally protected classification, in accordance with applicable law.
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Explore the exciting realm of AI Specialist jobs, where innovation meets opportunity. These roles involve designing, developing, and implementing artificial intelligence solutions across various industries. AI Specialists are in high demand, driving advancements in machine learning, natural language processing, and computer vision. This field offers a chance to work on cutting-edge projects and shape the future of technology.