AI/ML Engineer

Quantum Technologies. LLC; Buffalo (NY); On-site; USD 110,000 - 180,000; Full time

Job summary

Quantum Technologies. LLC in Buffalo, NY seeks an experienced AI/ML Engineer to design, develop, deploy, and maintain ML/AI solutions. You will work with Python, ML/DL, NLP, GenAI, and LLMs to build scalable applications and predictive models.

You will implement MLOps, deploy with Docker/Kubernetes, and integrate vector databases and RAG/LangChain tooling to serve enterprise workloads.

Qualifications

• A proven track record in building production ML systems.
• Strong Python development with ML/DL expertise.
• Experience deploying models at scale with Docker/Kubernetes.
• Knowledge of NLP tasks and LLM integration.
• Familiarity with vector databases and retrieval augmented generation.

Responsibilities

• Design and develop ML/AI solutions for business needs.
• Build and deploy ML models using Python and frameworks.
• Develop RAG pipelines and LLM-based applications.
• Implement MLOps for training, deployment, monitoring, and versioning.
• Collaborate with cross-functional teams and stakeholders.
• Ensure model performance, privacy, and governance.

Skills

Python programming

Machine learning

Deep learning

Natural language processing

Generative AI

Large language models

Scikit-learn

TensorFlow

PyTorch

NLP

Tools

Docker

Kubernetes

LangChain

LlamaIndex

OpenAI

Azure OpenAI

Pinecone

FAISS

ChromaDB

Weaviate

Job description

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.