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Entry Level Llm Developer Jobs in Florida (NOW HIRING)

... LLM and AI APIs into production, with consideration for application security - Managing API and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Tax Senior Associate - Real Estate

Fort Lauderdale, FL · On-site

$77K - $96K/yr

We serve a broad array of real estate owners, developers, and investors including public and ... Masters of Accounting * CPA, JD, LLM, or EA * Experience with a national or large regional ...

Tax Senior Associate - Real Estate

Fort Lauderdale, FL · On-site

$77K - $96K/yr

We serve a broad array of real estate owners, developers, and investors including public and ... Masters of Accounting * CPA, JD, LLM, or EA * Experience with a national or large regional ...

Entry Level Llm Developer information

What is the difference between Entry Level Llm Developer vs Entry Level Data Scientist?

AspectEntry Level Llm DeveloperEntry Level Data Scientist
Required CredentialsBachelor's in Computer Science, AI, or related field; familiarity with machine learning and NLPBachelor's in Computer Science, Statistics, or related field; knowledge of programming and data analysis
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, research institutions
Employer & Industry UsageDevelops language models, NLP applicationsAnalyzes data, builds predictive models, interprets data trends

Entry Level Llm Developers focus on creating and fine-tuning language models using AI and NLP techniques, often working in tech and research environments. Entry Level Data Scientists analyze data sets to extract insights and build models, working across various industries. While both roles require programming skills and a background in data or AI, their core responsibilities differ: Llm Developers specialize in language models, whereas Data Scientists focus on data analysis and interpretation.

What are entry level LLM developers?

Entry level LLM (Large Language Model) developers are professionals who work with AI models like GPT, typically at the beginning of their careers. They may assist in training, fine-tuning, or integrating large language models into various applications, often under the supervision of more experienced engineers. Their work can involve coding, data preprocessing, prompt engineering, and testing model performance. Entry level LLM developers usually have foundational knowledge in programming (commonly Python), machine learning concepts, and an interest in natural language processing (NLP). Employers often look for candidates with relevant coursework, internships, or personal projects in AI.

What are the key skills and qualifications needed to thrive as an Entry Level LLM Developer, and why are they important?

To thrive as an Entry Level LLM Developer, you need a solid background in computer science, programming (especially Python), and a foundational understanding of machine learning and natural language processing concepts. Familiarity with frameworks such as PyTorch or TensorFlow, experience using libraries like HuggingFace Transformers, and basic proficiency with cloud platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and adapt to evolving project needs. These skills and qualities ensure you can effectively contribute to LLM projects, deliver reliable code, and stay current in a fast-paced AI field.

What are typical projects and daily tasks for an Entry Level LLM Developer?

As an Entry Level LLM Developer, you can expect to work on tasks such as fine-tuning language models, building data pipelines, and supporting senior engineers with model deployment and testing. Your daily responsibilities may include cleaning and preparing datasets, writing Python scripts, conducting model evaluations, and documenting your work. You'll often collaborate closely with data scientists, machine learning engineers, and product teams to ensure your models align with business goals. This role is a great opportunity to build foundational skills in natural language processing while gaining exposure to real-world applications of large language models.
What are the most commonly searched types of Llm Developer jobs in Florida? The most popular types of Llm Developer jobs in Florida are:
What are popular job titles related to Entry Level Llm Developer jobs in Florida? For Entry Level Llm Developer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Entry Level Llm Developer jobs in Florida look for? The top searched job categories for Entry Level Llm Developer jobs in Florida are:
What cities in Florida are hiring for Entry Level Llm Developer jobs? Cities in Florida with the most Entry Level Llm Developer job openings:
Full-Stack Cloud Engineer

Full-Stack Cloud Engineer

Pwc

Tampa, FL

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Risk Architecture

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Full-Stack Cloud Engineer, you will be at the forefront of software and product innovation, developing transformative software solutions that drive digital transformation and enhance business performance. Within our Risk Consulting practice, you will focus on creating applications that revolutionize industries and deliver exceptional user experiences. Your role will involve combining technical skills with creative thinking to deliver innovative software products and solutions.
As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing ambiguity. You will use critical thinking to break down complex concepts and interpret data to inform insights and recommendations.
In this role, you will leverage a broad range of tools and methodologies to generate new ideas and solve problems. You will develop a deeper understanding of the business context and how it is changing, using reflection to enhance strengths and address development areas. Upholding professional and technical standards, you will contribute to the firm's overall business strategies.
Responsibilities
- Developing and implementing innovative software solutions to drive digital transformation and enhance business performance
- Designing, coding, and testing applications to deliver exceptional user experiences
- Managing and integrating APIs to support seamless application functionality
- Utilizing application development frameworks and methodologies to streamline software development processes
- Conducting code reviews and adhering to coding standards to maintain software quality
- Collaborating with cross-functional teams to analyze business requirements and translate them into technical specifications
- Leading efforts in continuous integration and continuous delivery (CI/CD) to optimize software deployment
- Troubleshooting and debugging software issues to validate smooth operation and performance
- Engaging in business process improvement initiatives to enhance client support and service delivery
- Building and maintaining client relationships to understand and anticipate their evolving needs
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Build and run the deployment pipeline: container images, CI/CD workflows. Drive a GitOps promotion path through dev, QA, stage, and prod on a major cloud provider (AWS, Azure, or GCP), using managed container services and registries
- Developing solutions using JavaScript (JS), React Native, TypeScript, and Node.js, with extensive Next.js (App Router) experience

- Experience deploying LLM and AI APIs into production, with consideration for application security
- Managing API and microservices architecture
- Excelling in business requirements analysis and client management
- Demonstrating analytical thinking and problem-solving skills
- Navigating complex software development methodologies
- Embracing change and learning agility in dynamic environments

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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