Encora

Compensation

Full Description

• 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.