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Contractual Natural Language Processing Jobs in Florida

Citadel

Software Engineer - Intern (US)

Miami, FL · On-site

$4.5K - $5.8K/wk

You'll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more. As an intern, you'll get to ...

MANTECH

Data Scientist

Tampa, FL

Apply natural language processing (NLP) methods, clustering techniques and predictive modeling to generate insights. * Designing and automating processes to facilitate the manipulation and analysis ...

HNTB

Sr AI Specialist, Team Lead

Tallahassee, FL · On-site

... natural language processing, computer vision, or predictive analytics solutions. • Experience with AI model selection, prompt engineering, model evaluation, testing, documentation, risk assessment ...

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Contractual Natural Language Processing information

What are some typical challenges faced by professionals working in contractual natural language processing roles?

Professionals in contractual NLP roles often encounter challenges such as quickly adapting to new project requirements, managing tight deadlines, and working with limited access to proprietary data or tools. Since contract positions may involve collaborating remotely with diverse teams, effective communication and self-motivation are crucial. Additionally, staying updated with the latest NLP techniques and ensuring high-quality deliverables despite project constraints are ongoing expectations. Successful contractors are proactive in clarifying client needs and flexible in adjusting to evolving priorities.

What is a contractual natural language processing specialist?

A Contractual Natural Language Processing (NLP) specialist is a professional who works on short-term or project-based contracts to develop, implement, and optimize systems that allow computers to understand and process human language. Their responsibilities often include building chatbots, developing text analytics tools, and improving machine translation systems. Unlike full-time employees, contractual NLP specialists typically work for a specific duration or on particular projects, offering flexibility to both employers and professionals. They usually possess expertise in linguistics, programming, and machine learning.

What are the key skills and qualifications needed to thrive as a contractual natural language processing specialist?

To thrive as a Contractual Natural Language Processing (NLP) Specialist, you need a strong background in computational linguistics, machine learning, and programming (typically Python), often supported by a relevant degree or equivalent experience. Familiarity with NLP frameworks like NLTK, spaCy, or Hugging Face Transformers, and experience with cloud computing platforms, are commonly required; certifications in data science or cloud technologies can also be beneficial. Exceptional problem-solving skills, adaptability, and effective communication help specialists collaborate with diverse teams and clearly convey complex findings. These competencies ensure that NLP solutions are robust, scalable, and aligned with client objectives in dynamic project-based environments.

What is the difference between Contractual Natural Language Processing vs Data Scientist?

AspectContractual Natural Language ProcessingData Scientist
CredentialsTypically requires degrees in linguistics, computer science, or related fields; certifications in NLP toolsRequires degrees in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentOften project-based, working with NLP teams or vendors on language-specific tasksIn-house or consulting roles analyzing data, building models, and deriving insights
Industry UsageCommon in tech, legal, healthcare, and customer service sectors for language processing tasksUsed across industries for data analysis, predictive modeling, and decision support

Contractual Natural Language Processing specialists focus on language-specific tasks often on a contractual basis, while Data Scientists analyze data broadly to inform business decisions. Both roles require technical skills but differ in focus and work environment.

Is contractual natural language processing in demand?

Contractual natural language processing roles are in demand due to the growing use of AI and machine learning in industries such as technology, healthcare, and finance. Skills in NLP tools like Python, TensorFlow, and data annotation are highly valued, and the field offers opportunities for contract-based and project-specific work.

What are popular job titles related to Contractual Natural Language Processing jobs in Florida?

For Contractual Natural Language Processing jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Contractual Natural Language Processing jobs in Florida look for?

The top searched job categories for Contractual Natural Language Processing jobs in Florida are:

What cities in Florida are hiring for Contractual Natural Language Processing jobs?

Cities in Florida with the most Contractual Natural Language Processing job openings:

Contractual Natural Language Processing jobs near you

Development Engineer

Power Systems Mfg., LLC

Jupiter, FL • On-site

Full-time

Re-posted 21 days ago

Job description

POSITION: Development Engineer, Monitoring & Diagnostics

LOCATION: Jupiter, Florida / Hybrid

STATUS: Salaried Non-Exempt


JOB SUMMARY

ESSENTIAL DUTIES AND RESPONSIBILITIES

The essential functions of the job include, but are not limited to, the following:

  • Utilize and expand AWS Cloud infrastructure to enhance data analytics and monitoring capabilities (AWS full stack development, EC2, S3, Lambda, Amplify)
  • Utilize AI models for knowledge base agent/digital twin of gas turbine.
  • Develop/maintain software for monitoring, analyzing and graphically representing gas turbine operations.
  • Continuously refine/train models to mimic real life engine behavior, minimize false alarms, and predict gas turbine alarms before they occur
  • Work with operational team to support and troubleshoot issue with customer data and cloud infrastructure
  • Continuously improve the OSIsoft PI system architecture
  • Other duties as assigned


MINIMUM REQUIREMENTS

  • Education: Bachelor’s degree in Computer Science, Data Science, Data Analytics, Mechanical Engineering, or a related quantitative/technical field.
  • Generative AI & ML: Practical experience with Machine Learning (ML) and Artificial Intelligence (AI) frameworks. Familiarity with Large Language Models (LLMs) and Foundational Models via platforms like Amazon Bedrock.
  • Full-Stack Development: Understanding of AWS Full-Stack development workflows, including API Management, IAM roles, and cloud security best practices.
  • AWS Cloud Ecosystem: Hands-on experience with AWS Cloud Architecture. Proficiency in core services including EC2 (Compute), S3 (Storage), and AWS Lambda (Serverless).
  • Programming Languages: Proficiency in at least one modern language: Python, TypeScript, C#, or MATLAB.
  • DevOps & Tools: Basic knowledge of Software Development Life Cycle (SDLC), Version Control (Git/GitHub), and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
  • Methodology: Familiarity with Agile/Scrum environments and iterative development processes.
  • Data Analysis: Strong aptitude for data visualization and data modeling.
  • DataBase experience: Experience with SQL and noSQL databases.

Preferred Skills/Experience

  • AWS Certifications: Active certifications such as AWS Certified Developer, Solutions Architect, or Machine Learning – Specialty.
  • Advanced AI/ML: Exposure to Natural Language Processing (NLP), Neural Networks, or Generative AI integration via Amazon Bedrock and SageMaker.
  • Data Science Stack: Proficiency in data manipulation libraries (e.g., Pandas, NumPy, Scikit-learn)
  • Modern Web Frameworks: Experience in Full-Stack Development using React.js and TypeScript to build responsive user interfaces.
  • API Development: Knowledge of building and consuming RESTful APIs or GraphQL to connect front-end applications with cloud backends.
  • State Management: Familiarity with tools like Redux, Context API, or Zustand for complex UI logic.
  • Version Control: Mastery of Git workflows, including branching strategies, pull requests, and code reviews.
  • CI/CD Pipelines: Experience with AWS CodeCommit, GitHub Actions, or GitLab CI for automated testing and deployment.
  • Infrastructure as Code (IaC): Basic understanding of AWS CloudFormation or Terraform is a significant advantage.

Equal Opportunity Veterans/Disabled