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# AI/ML Engineer

- **Company:** Robotics Technologies LLC
- **Location:** Buffalo, NY, United States
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Big Data, Business Software, Cloud Computing, Data Cleansing, Python (Programming Language), Machine Learning, Natural Language Processing, Named Entity Recognition, OpenAI, Tensorflow, Sentiment Analysis, Management of Software Versions, Pinecone, Enterprise Software Applications, Feature Engineering, Pytorch, Large Language Models, Deep Learning, Llamaindex, Generative AI, Scikit Learn, Kubernetes, Weaviate, Machine Learning Operations, FAISS, Restful APIs, Document Classification, Recurrent Neural Networks, Docker, ChromaDB
- **Published:** November 1, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ac2e763c3ee15bf3

## About the Role

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).

## Description

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

Roles & Responsibilities:

 * 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.