Remote
Mid Level
Full Time
Posted December 29, 2025
Tech Stack
langgraph
crewai
processing-js
pytorch
tensorflow
meta-llama
llama
hugging-face
faiss
ml-flow
mlflow
amazon-web-services
google-cloud-platform
microsoft-azure
python
docker
kubernetes
appcast
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Encora, is seeking the following. Apply via Dice today!
- 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.