AI/ML Engineer: RAG, LLMs, NLP & MLOps Expert

Ethereum Technologies; Buffalo (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Ethereum Technologies is seeking an experienced AI/ML Engineer in Buffalo, NY to design, develop, deploy, and maintain ML/AI solutions for real-world business problems. You will work with cross-functional teams to automate processes, build predictive models, and implement intelligent applications using Python, ML/DL frameworks, NLP, and LLM platforms.

Key focus areas include RAG pipelines, LangChain, vector databases, and MLOps, with containerized deployments on cloud platforms.

Qualifications

• Strong experience in Python and ML/DL
• Experience with NLP, LLMs and generative AI
• Hands-on expertise with ML pipelines and MLOps
• Experience with Docker, Kubernetes and cloud platforms
• Familiarity with vector databases and retrieval augmented generation
• Experience deploying ML models into production environments
• Ability to collaborate with cross-functional teams

Responsibilities

• Design, develop, deploy, and maintain ML/AI solutions for business needs
• Build predictive models and deploy scalable AI applications
• Develop NLP solutions including text classification and sentiment analysis
• Work with LLMs, RAG, LangChain, and LlamaIndex
• Implement MLOps pipelines for training, deployment, monitoring, and versioning
• Deploy models using Docker, Kubernetes, and cloud platforms
• Collaborate with data engineers, software developers, and stakeholders
• Monitor model performance, accuracy, and reliability

Skills

Python

ML algorithms

Deep learning

NLP

Generative AI

LLMs

Scikit-learn

TensorFlow

PyTorch

LangChain

LlamaIndex

RAG

REST APIs

Docker

Kubernetes

MLOps

Cloud

Data prep

Feature engineering

EDA

Vector DB

Pinecone

FAISS

ChromaDB

Weaviate

Tools

Python tooling

TensorFlow

PyTorch

Job description

Ethereum Technologies is seeking an experienced AI/ML Engineer in Buffalo, NY to design, develop, deploy, and maintain ML/AI solutions for real-world business problems. You will work with cross-functional teams to automate processes, build predictive models, and implement intelligent applications using Python, ML/DL frameworks, NLP, and LLM platforms.

Key focus areas include RAG pipelines, LangChain, vector databases, and MLOps, with containerized deployments on cloud platforms.