GenAI / Machine Learning / Python Engineer - USC / Green Card / H4 EAD

Hudson Manpower

$100K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-6 years of professional experience in Machine Learning, Data Science, or related fields.
  • Strong programming experience with Python.
  • Solid understanding of Machine Learning concepts and algorithms.
  • Hands-on experience developing and evaluating Machine Learning models.
  • Experience with data preprocessing, feature engineering, and exploratory data analysis.
  • Strong knowledge of SQL and data manipulation.
  • Familiarity with AI/ML frameworks like PyTorch or TensorFlow is preferred.

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.
  • Deploy and monitor AI/ML applications in development or production environments.
  • Collaborate with engineering, data, and business teams to understand requirements and deliver AI-driven solutions.

Benefits

  • Full-time employment with opportunities for relocation across the U.S.
  • Exposure to cutting-edge Generative AI technologies and applications.
  • Hands-on experience with real-world AI/ML projects in a collaborative environment.
  • Potential for professional growth within a growing technology team.
  • Work with advanced AI/ML frameworks and large-scale applications.
Full Job Description
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: USC / Green Card / H4 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 GCP
  • 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
  • US Citizens (USC)
  • Green Card holders
  • H4 EAD 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.

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