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Temporary Large Language Model Llm Jobs in Connecticut

Perform advanced Large Language Model (LLM) development and adaptation. Work with brand and reputation analytics. Perform machine learning engineering. Work with cloud-native deployment. Work with ...

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Experience with AI/ML frameworks, large language model (LLM) technologies, and modern data pipelines. * Deep understanding of model lifecycle management, MLOps practices, and production reliability ...

Experience with AI/ML frameworks, large language model (LLM) technologies, and modern data pipelines. * Deep understanding of model lifecycle management, MLOps practices, and production reliability ...

AI Solutions Architect

Norwalk, CT · On-site

$126 - $168/hr

The role focuses on API integration design, data architecture, large language model deployment patterns, conversational AI platform integration, security, scalability, reliability, and observability.

AI Solutions Architect

Norwalk, CT · On-site

$125K - $167K/yr

The role focuses on API integration design, data architecture, large language model deployment patterns, conversational AI platform integration, security, scalability, reliability, and observability.

AI Solutions Architect

Norwalk, CT · On-site

$63.25 - $83.50/hr

The role focuses on API integration design, data architecture, large language model deployment patterns, conversational AI platform integration, security, scalability, reliability, and observability.

Associate Data Scientist

Stamford, CT · On-site

$62K - $63K/yr

Design and implement Large Language Model (LLM)-based agents that synthesize information and automate business workflows. * Apply NLP and Generative AI techniques to derive actionable insights from ...

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Associate Data Scientist

Stamford, CT · On-site +1

$62K - $63K/yr

Design and implement Large Language Model (LLM)-based agents that synthesize information and automate business workflows. * Apply NLP and Generative AI techniques to derive actionable insights from ...

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Temporary Large Language Model Llm information

What is a temporary large language model LLM?

Temporary Large Language Model (LLM) roles involve short-term positions where individuals work with or support the development, training, or deployment of large language models like GPT or similar AI technologies. These roles may include tasks such as data annotation, prompt engineering, model evaluation, or assisting in content moderation powered by LLMs. Temporary LLM roles are often project-based and can be found in tech companies, research labs, or organizations utilizing AI for various applications. They generally require familiarity with AI concepts, attention to detail, and sometimes programming skills.

What are the key skills and qualifications needed to thrive as a temporary large language model LLM?

To thrive as a Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Proficiency with tools like Python, TensorFlow or PyTorch, and experience with cloud platforms and version control systems is typically required. Strong problem-solving skills, attention to detail, and effective communication help engineers collaborate and innovate in complex projects. These skills are crucial for developing, fine-tuning, and deploying LLMs that deliver accurate and ethical AI solutions.

What are the typical challenges faced by professionals working in a temporary large language model LLM role, and how can they be addressed?

Professionals in temporary Large Language Model (LLM) roles often encounter challenges such as quickly adapting to new datasets, ensuring data privacy, and optimizing model performance within tight deadlines. Since these roles are project-based, there may be limited onboarding time, requiring a strong ability to learn and collaborate rapidly with cross-functional teams like data engineers and product managers. To succeed, it's helpful to be proactive in seeking clarification, documenting work thoroughly, and staying updated on the latest advancements in LLM technologies.

What is the difference between Temporary Large Language Model Llm vs Data Scientist?

AspectTemporary Large Language Model LlmData Scientist
Required CredentialsTypically no formal degree, but expertise in AI/ML and programmingUsually requires a degree in Computer Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesData analysis, modeling, and business insights in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, and more
Common Search & ComparisonFocuses on AI model deployment and developmentFocuses on data analysis and insights

The main difference is that a Temporary Large Language Model Llm is an AI system or model used for language processing, while a Data Scientist analyzes data to generate insights. The Llm is a tool or product, whereas the Data Scientist is a professional role that may utilize models like Llm in their work.

What are the most commonly searched types of Large Language Model Llm jobs in Connecticut?

The most popular types of Large Language Model Llm jobs in Connecticut are:

What are popular job titles related to Temporary Large Language Model Llm jobs in Connecticut?

For Temporary Large Language Model Llm jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Temporary Large Language Model Llm jobs in Connecticut look for?

The top searched job categories for Temporary Large Language Model Llm jobs in Connecticut are:

What cities in Connecticut are hiring for Temporary Large Language Model Llm jobs?

Cities in Connecticut with the most Temporary Large Language Model Llm job openings:

Marketing Manager

Xerox Corporation

Norwalk, CT • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Xerox rating

7.3

Company rating: 7.3 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

105th of 159 rated electronics manufacturers


Job description

IT/TECH Principal Data Scientist (Ridgefield, CT): Design, develop, and deploy advanced artificial intelligence (AI) systems with a focus on agentic AI. Design AI models capable of taking actions, making decisions, and autonomously completing tasks based on goals and contextual information. Apply AI technologies to brand and reputation applications, helping organizations analyze public sentiment, detect emerging risks, and support strategic communication decisions. Perform advanced Large Language Model (LLM) development and adaptation. Work with brand and reputation analytics. Perform machine learning engineering. Work with cloud-native deployment. Work with Natural Language Processing (NLP). Telecommuting is permitted. Req's Ph.D. plus 2 yrs exp. To apply, email resume to jutubor@reptrak.com or mail resume to Reputation Institute, Inc., Attn: Joy Utubor, 31 Milk Street, #960969, Boston, MA 02196. Must Ref# MP10112139CT. No phone calls.
recblid kgvfpfnwwihrrqxsiujtj3jena08be

What Xerox employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Xerox

Sourced by ZipRecruiter

For more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, we've expanded into software and services to sustainably power today's workforce. From the office to industrial environments, our differentiated business solutions and financial services are designed to make every day work better for clients -- no matter where that work is being done. Today, Xerox scientists and engineers are continuing our legacy of innovation with disruptive technologies in digital transformation, augmented reality, robotic process automation, additive manufacturing, Industrial Internet of Things and cleantech. Learn more at www.xerox.com and explore our commitment to diversity and inclusion.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Norwalk, CT, US

Year founded

1906

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