AI/ML Engineer

Overview

Remote
Depends on Experience
Contract - W2

Skills

Algorithms
Amazon Web Services
Generative Artificial Intelligence (AI)
Google Cloud Platform
JavaScript
LlamaIndex
Machine Learning Operations (ML Ops)
NumPy
PyTorch
Python
RESTful
TensorFlow
Web Applications
Vector Databases
Pandas

Job Details

Job Detail: AI/ML Engineer

Contract: W2 Only

Job Description

  • 10 + years of experience in AI/ML engineering, with at least 2 years focused on Generative AI.
  • Hands-on experience with LLMs, prompt engineering, and fine-tuning techniques.
  • Experience with ML Ops tools and cloud platforms (AWS, Google Cloud Platform, Azure).
  • Experience with Python and JavaScript programming languages.
  • Experience working with teams that leveraged two or more of the following: continuous integration / continuous delivery tools, REST API development, serverless architecture, containerization, IaC, public / private cloud, web applications, web services, application observability and/or messaging/ stream architecture.
  • Experience with AI frameworks like TensorFlow, PyTorch, or similar.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Expertise in natural language processing (NLP) and large language models (LLMs).
  • Solid foundation in traditional machine learning, deep learning, and AI architecture patterns.
  • Experience with frameworks such as TensorFlow, PyTorch, or similar.
  • Experience with data manipulation libraries (pandas, NumPy).
  • Experience developing data applications using machine learning algorithms, including LLM.
  • Experience with machine learning, optimization algorithms, deep-learning techniques, and/or LLMs.
  • Experience with vector databases, retrieval-augmented generation (RAG), and prompt engineering.
  • Experience with LLMs (HuggingFace, Mistral, LLaMA, etc.).
  • Hands-on with RAG frameworks: LangChain, LlamaIndex.
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