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AI/Machine Learning Engineer

Red Oak Technologies

United States

Remote

USD 80,000 - 120,000

Full time

Yesterday
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Job summary

Join a forward-thinking company as an AI/Machine Learning Engineer, where you'll design and deploy cutting-edge AI solutions. This remote position offers the chance to work with advanced technologies in a collaborative environment. Your expertise in LLM, NLP, and cloud platforms will be essential in enhancing chat-based systems and integrating innovative AI models. If you're passionate about AI and looking for a dynamic role that challenges your skills, this opportunity is perfect for you. Embrace the chance to make a significant impact in the AI landscape while working remotely with a talented team.

Qualifications

  • 3+ years of experience in LLM and NLP with strong Python skills.
  • Hands-on experience with RAG workflows and cloud platforms.

Responsibilities

  • Design and deploy advanced AI solutions using Python.
  • Integrate chat-based client systems and enhance backend systems.

Skills

LLM and NLP
RAG workflows
Python
TensorFlow
PyTorch
GCP Vertex AI
Amazon Bedrock
multimodal AI models
APIs for model deployment

Job description

Get AI-powered advice on this job and more exclusive features.

AI/Machine Learning Engineer for Remote for a 12-month Contract with possible extensions. Willingness to work with manager in PST time zone.

Responsibilities:

  1. Design, develop, and deploy advanced AI solutions.
  2. Work with Cloud Platforms like Vertex AI and leverage Python to enhance backend systems and integrate with Frontend Chat.
  3. Enhance and integrate chat-based client systems.

Required Skills:

  1. At least 3 years’ experience with LLM and NLP.
  2. Hands-on experience with RAG workflows, including vector databases and semantic search.
  3. Experience developing efficient and accurate RAG layers.
  4. Experience integrating chat-based clients.
  5. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch).
  6. Experience with cloud platforms, specifically GCP Vertex AI (e.g., Gemini 2.0) or Amazon Bedrock.
  7. Experience with multimodal AI models (processing text, images, videos).
  8. Strong Python programming skills for model development and data processing.
  9. Familiarity with text embeddings, vector databases, and retrieval systems.
  10. Experience with APIs for model deployment and integration (e.g., Vertex AI SDK, Bedrock APIs).
Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Staffing and Recruiting

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