AI Engineer (Remote) P.HD Candidates Only

Overview

Remote
$110 - $115
Contract - W2
Contract - 6 Month(s)

Skills

Amazon EC2
Amazon SageMaker
Amazon Web Services
Analytical Skill
Art
Artificial Intelligence
Cloud Computing
Collaboration
Computer Science
Computer Vision
Conflict Resolution
Deep Learning
DevOps
Docker
Language Models
Large Language Models (LLMs)
Machine Learning (ML)
Natural Language Processing
Performance Metrics
Problem Solving
PyTorch
Python
Research
Systems Architecture
TensorFlow
Training
Transformer

Job Details

AI Engineer (Remote) P.HD Candidates Only

Job Summary
We are looking for a highly motivated and skilled Data Scientist with a strong background in deep learning, natural language processing (NLP) and/or computer vision to join our team. In this role, you will be responsible for development/deployment of both computer vision and vision language models (VLMs), while also contributing to the design and implementation of a cutting-edge multi-agent LLM system.

Key Responsibilities:

Develop and optimize advanced computer vision models for a range of real-world applications.

Fine-tune and deploy large language models (LLMs) using domain-specific datasets.

Design and implement scalable frameworks for multi-agent LLM collaboration and interaction.

Work cross-functionally with research, product, and engineering teams to deliver robust, ML-powered solutions.

Conduct rigorous experiments, analyze performance metrics, and iterate on model improvements.

Stay informed on the latest advancements in AI, particularly in vision, NLP, and agent-based systems.

Qualifications:

  • Master s or Ph.D. in Computer Science, Machine Learning, or a related field; Ph.D. preferred.
  • Extensive hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Demonstrated expertise in building and training computer vision models (e.g., CNNs, Vision Transformers).
  • Practical experience fine-tuning and deploying large language models (e.g., GPT, DeepSeek, LLaMA, Mistral).
  • Familiarity with multi-agent systems, reinforcement learning, or AI planning is a strong plus.
  • Proficient in Python with experience in designing machine learning pipelines and working with cloud-based platforms. Hands-on experience with deploying ML systems on AWS using tools like AWS CDK, Docker, and related DevOps practices.

Strong analytical and problem-solving skills with the ability to work independently and in collaborative environments.

Preferred Qualifications:

  • Strong understanding of vision-language models and transformer-based architectures.

  • Proven experience training state-of-the-art VLMs (e.g., CLIP, BLIP, Flamingo, LLaVA) on both domain-specific and large-scale datasets.

  • Familiarity with multi-agent systems architecture and design principles.

  • Experience deploying machine learning models in cloud environments, particularly using AWS services (e.g., SageMaker, EC2, Lambda).

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.