GenAI / Machine Learning / Python Engineer - / / EAD

Remote in Wilmington, NC, US • Posted 1 day ago • Updated 7 hours ago
Full Time
On-site
USD $30.00 - 45.00 per hour
Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

  • Employment Authorization
  • Unstructured Data
  • Training
  • Evaluation
  • Optimization
  • Collaboration
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Vector Databases
  • LangChain
  • LlamaIndex
  • Semantic Search
  • Natural Language Processing
  • Transformer
  • Customization
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Docker
  • Microservices
  • Continuous Integration
  • Continuous Delivery
  • Kubernetes
  • Machine Learning Operations (ML Ops)
  • Data Science
  • Generative Artificial Intelligence (AI)
  • Algorithms
  • Data Analysis
  • SQL
  • Data Manipulation
  • Python
  • Pandas
  • NumPy
  • scikit-learn
  • Artificial Intelligence
  • Machine Learning (ML)
  • PyTorch
  • TensorFlow
  • Analytical Skill
  • Problem Solving
  • Conflict Resolution
  • SAP BASIS

Summary

About the Opportunity

We are looking for a skilled GenAI / Machine Learning / Python Engineer with 2-6 years of professional experience to join a growing technology team. The ideal candidate will have strong Python and Machine Learning fundamentals, along with hands-on experience building AI/ML solutions and an interest in Generative AI and emerging AI technologies.

This opportunity is well suited for professionals who have worked on real-world AI/ML projects and are looking to contribute to production-focused solutions involving Machine Learning, Generative AI, LLMs, and data-driven applications.

Employment Type: Full-Time W2
Experience: 2-6 Years
Work Authorization: / / EAD
Location: Open to Relocation Anywhere in the United States
Employment: W2 Only - No C2C / 1099

Key Responsibilities
  • Develop, test, and maintain Machine Learning and AI solutions using Python.
  • Build and integrate Generative AI and LLM-based applications.
  • Work with structured and unstructured data to identify patterns and generate insights.
  • Develop and optimize ML models for real-world business applications.
  • Implement data preprocessing, feature engineering, model training, evaluation, and optimization.
  • Work with LLM APIs, prompt engineering, embeddings, and AI/ML frameworks.
  • Develop or support Retrieval-Augmented Generation (RAG) solutions where applicable.
  • Collaborate with engineering, data, and business teams to understand requirements and deliver AI-driven solutions.
  • Deploy and monitor AI/ML applications in development or production environments.
  • Document technical solutions, methodologies, and model performance.

GenAI Skills - Preferred

Candidates with hands-on experience in the following areas are highly preferred:
  • Generative AI and Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Vector databases such as Pinecone, FAISS, Chroma, Weaviate, or similar
  • LangChain, LlamaIndex, or comparable GenAI frameworks
  • LLM APIs such as OpenAI, Azure OpenAI, Gemini, Claude, Llama, or similar
  • Embeddings and semantic search
  • NLP and Transformer architectures
  • Fine-tuning or model customization
  • AI agents / Agentic AI

Cloud & Deployment - Nice to Have
  • Experience with AWS, Azure, or Google Cloud Platform
  • Docker and containerization
  • REST APIs and microservices
  • CI/CD
  • Kubernetes
  • ML deployment and monitoring / MLOps

Required Qualifications
  • 2-6 years of professional experience in Machine Learning, Data Science, Artificial Intelligence, GenAI, or a closely related field.
  • Strong programming experience with Python.
  • Solid understanding of Machine Learning concepts and algorithms.
  • Hands-on experience developing and evaluating Machine Learning models.
  • Experience working with data preprocessing, feature engineering, and exploratory data analysis.
  • Strong understanding of SQL and data manipulation.
  • Experience with commonly used Python libraries such as Pandas, NumPy, Scikit-learn, or similar.
  • Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or Hugging Face is preferred.
  • Strong analytical and problem-solving skills.
  • Ability to work effectively in a collaborative team environment.

Eligibility Requirements
  • s (USC)
  • s
  • holders
  • Must have 2-6 years of relevant professional experience
  • Must be willing to relocate anywhere within the United States
  • Must be willing to work on a W2 basis

Important

W2 ONLY. No C2C or 1099 arrangements.

Candidates who meet the above requirements and are open to relocation are encouraged to apply.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91134517
  • Position Id: f1c7e1f868655464d2d832eb64dd3f39
  • Posted 1 day ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

No location provided

Today

Full-time

California

Today

Easy Apply

Contract

Remote

6d ago

Easy Apply

Contract, Third Party

$93.34 - $93.34

Remote

14d ago

Easy Apply

Full-time

90,000 - 160,000

Search all similar jobs