AI/ML Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Buffalo (NY); On-site; USD 83,000 - 152,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC seeks an experienced AI/ML Engineer in Buffalo, NY to design, develop, deploy, and maintain ML/AI solutions. You will work across teams to build scalable models, automate processes, and deliver predictive analytics using Python, TensorFlow, PyTorch, and OpenAI-based platforms.

The role covers ML model development, RAG pipelines, vector databases, NLP tasks, and MLOps, with deployment to Docker/Kubernetes and cloud environments.

Qualifications

• Strong experience in Python programming and ML/DL
• Expertise in NLP, generative AI, and LLMs
• Hands-on work with Scikit-learn, TF, and PyTorch
• Experience with retrieval-augmented generation (RAG) and LangChain
• Familiarity with vector databases (Pinecone/FAISS/ChromaDB/Weaviate) and containerization
• Proficient with deployment to cloud platforms and MLOps pipelines

Responsibilities

• Design, develop, and deploy ML models for business applications
• Build predictive analytics, classification, regression, and clustering models
• Develop AI/ML solutions using Python, Scikit-learn, TensorFlow, PyTorch
• Work on Generative AI apps using OpenAI and Azure OpenAI
• Develop and implement RAG pipelines and LangChain/LlamaIndex apps
• Implement NLP solutions including text classification and entity recognition
• Leverage CNNs, RNNs, LSTMs, Transformers in models
• Fine-tune and optimize LLMs for business needs
• Develop vector databases using Pinecone/FAISS/ChromaDB/Weaviate
• Build REST APIs and integrate ML models with enterprise apps
• Establish MLOps pipelines for training, deployment, monitoring
• Deploy models with Docker, Kubernetes, cloud platforms
• Handle large datasets, preprocessing, feature engineering, EDA
• Collaborate with data engineers and stakeholders
• Monitor model performance, scalability, reliability
• Ensure responsible AI, data privacy, and governance

Skills

Python programming

Machine learning algorithms

Deep learning

Natural language processing

Generative AI

LLMs

Tools

Scikit-learn

TensorFlow

PyTorch

OpenAI

Azure OpenAI

LangChain

LlamaIndex

Pinecone

FAISS

ChromaDB

Weaviate

Docker

Kubernetes

Job description

Job Description

Job Overview

Job ID: J53568

Job Title: AI/ML Engineer

Location: Buffalo, NY

Duration: 6 Months + Extension

Domain Exposure: Insurance

Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

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.

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.

Equal Opportunity Employer

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.