Overview
Remote
Depends on Experience
Contract - W2
No Travel Required
Skills
Algorithms
Amazon Lambda
Amazon SageMaker
Art
Artificial Intelligence
CUDA
Cloud Computing
Continuous Delivery
Continuous Integration
Databricks
Kubernetes
Large Language Models (LLMs)
Machine Learning (ML)
Neo4j
PyTorch
Software Engineering
TensorFlow
Terraform
scikit-learn
Job Details
Software Engineering Senior Advisor - AI / ML
We're seeking a talented AI/ML Engineer to design, develop, and deploy cutting-edge AI and machine learning solutions. You'll work with state-of-the-art models and technologies, contributing to projects that have the potential to revolutionize industries.
Roles & Responsibilities
- Design and implement AI/ML models using various frameworks and libraries
- Work with large language models (LLMs) from providers like OpenAI and Anthropic
- Develop and optimize RAG (Retrieval-Augmented Generation) systems
- Collaborate with cross-functional teams to integrate AI capabilities into our applications
- Conduct experiments and analyze results to improve model performance
- Stay updated with the latest advancements in AI/ML and propose innovative solutions
- Devops / AWS / Lambda / CI/CD / Kubernetes / Terraform / Neo4j / CloudFormation
Qualifications and Required Experience & Skills
- Strong proficiency in Python
- AI/ML libraries (e.g., PyTorch, TensorFlow, Scikit)
- Experience working with large language models (e.g., GPT-4, Claude)
- Familiarity with RAG systems and related technologies - Must have for a year at least
- Strong understanding of machine learning concepts and algorithms (or equivalent education/certification)
- Experience with cloud-based ML platforms (e.g., AWS SageMaker, Databricks, Cuda, Nvidia etc)
- Proficiency in data preprocessing and feature engineering
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.