Overview
Remote
Depends on Experience
Contract - W2
Contract - Independent
Skills
LLM
AI
Job Details
Machine Learning Engineer - Generative AI
Remote
Long Term
Qualifications :
- 4+ years of experience in Machine Learning/AI engineering
- Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
- Practical experience with LLM deployments and fine-tuning
- Experience with vector databases and embedding models
- Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, Google Cloud Platform, Azure)
- Strong understanding of RAG architectures and implementation
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
- Experience with agile development methodologies
- Ability to balance multiple projects and priorities
- Strong focus on code quality and best practices
- Understanding of AI ethics and responsible AI development
Responsibilities :
- The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems
- Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources
- Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation
- Create robust evaluation frameworks for measuring and improving model performance
- Build and maintain agentic workflows for autonomous AI systems
- Collaborate with cross-functional teams to identify opportunities and implement AI solutions
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.