AI/ML Engineer

Ethereum Technologies; Buffalo (NY); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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

Responsabilidades

• 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

Conocimientos

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

Herramientas

Python tooling

TensorFlow

PyTorch

Descripción del empleo

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

We are looking for an experienced AI/ML Engineer to design, develop, deploy, and maintain machine learning and artificial intelligence solutions. The ideal candidate should have strong experience in Python programming, machine learning algorithms, deep learning, natural language processing, generative AI, and large language models (LLMs).

The candidate will work with cross-functional teams to build scalable AI solutions, automate business processes, develop predictive models, and implement intelligent applications.

Design, develop, and deploy machine learning models for real-world business applications.

Build predictive analytics and classification, regression, and clustering models.

Develop AI/ML solutions using Python, Scikit-learn, TensorFlow, and PyTorch.

Work on Generative AI applications using OpenAI, Azure OpenAI, and other LLM platforms.

Develop and implement Retrieval-Augmented Generation (RAG) pipelines.

Build LLM-based applications using LangChain and LlamaIndex.

Implement Natural Language Processing (NLP) solutions, including text classification, sentiment analysis, and entity recognition.

Work with deep learning architectures, including CNNs, RNNs, LSTMs, and Transformers.

Fine-tune and optimize large language models for specific business requirements.

Develop vector database solutions using Pinecone, FAISS, ChromaDB, or Weaviate.

Build REST APIs and integrate AI/ML models with enterprise applications.

Implement MLOps pipelines for model training, deployment, monitoring, and versioning.

Deploy machine learning models using Docker, Kubernetes, and cloud platforms.

Work with large datasets and perform data preprocessing, feature engineering, and exploratory data analysis.

Collaborate with data engineers, software developers, and business stakeholders.

Monitor model performance, accuracy, scalability, and reliability.

Implement responsible AI practices, data privacy, and model governance.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.