Overview
Remote
Depends on Experience
Full Time
Skills
LangGraph
AutoGen
CrewAI
PyTorch
TensorFlow
Hugging Face
LLMOps
Python
Vector
Semantic
Job Details
- Experience: Experience in ML/AI roles
- Agentic Frameworks: Hands-on experience with agent-based frameworks such as LangGraph, AutoGen, or CrewAI.
- Education: A Master's degree in engineering or computer science is required, with a PhD preferred.
Technical Skills:
- Strong expertise in Deep Learning & Natural Language Processing using frameworks like PyTorch or TensorFlow.
- Extensive experience fine-tuning foundation models (e.g., LLaMA, Mistral) and deploying inference pipelines.
- Proficiency with Hugging Face and popular fine-tuning techniques (LoRA, PEFT).
- Experience with Vector/Semantic search, RAG pipelines, or embedding optimization (PGVector, Pinecone, FAISS).
Infrastructure and Operations:
- Experience with LLMOps tooling (Weights & Biases, MLflow) and deploying ML systems in cloud environments (AWS, Google Cloud Platform, Azure).
- A deep understanding of GPU/memory optimization, distributed training, and batching strategies.
- Strong software engineering skills, including proficiency in Python, APIs, microservices, and containerization with Docker/Kubernetes.
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.