← Back to Jobs
Technology
Senior AI/ML Engineer
QTech US IncWilmington, DE🇺🇸United StatesPosted 17 Jul 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Job Title: Senior AI/ML Engineer
Location: Philadelphia, PA | Wilmington, DE | Columbus, OH | Chicago, IL | Minneapolis, MN | Detroit, MI | St. Louis, MO
Duration: 12+ Months Contract
Employment Type: W2 Only (No C2C)
Location: Philadelphia, PA | Wilmington, DE | Columbus, OH | Chicago, IL | Minneapolis, MN | Detroit, MI | St. Louis, MO
Duration: 12+ Months Contract
Employment Type: W2 Only (No C2C)
Job Summary:
We are seeking an experienced Senior AI/ML Engineer to design, develop, and deploy enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong expertise in Python, TensorFlow, PyTorch, Scikit-learn, Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), LangChain, Vector Databases, and cloud AI services on AWS or Azure. This role involves building scalable machine learning pipelines, deploying production-grade AI models, optimizing model performance, and collaborating with cross-functional teams to deliver innovative AI-driven solutions.
We are seeking an experienced Senior AI/ML Engineer to design, develop, and deploy enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong expertise in Python, TensorFlow, PyTorch, Scikit-learn, Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), LangChain, Vector Databases, and cloud AI services on AWS or Azure. This role involves building scalable machine learning pipelines, deploying production-grade AI models, optimizing model performance, and collaborating with cross-functional teams to deliver innovative AI-driven solutions.
Key Responsibilities:
• Design, develop, and deploy AI/ML models for enterprise applications.
• Build scalable machine learning pipelines and data preprocessing workflows.
• Develop and optimize LLM, NLP, and Generative AI solutions.
• Integrate AI models with cloud platforms and production systems.
• Monitor model performance, retrain models, and improve model accuracy.
• Build scalable inference pipelines and support production AI deployments.
• Collaborate with Data Engineers, Data Scientists, and Software Development teams.
• Participate in model evaluation, testing, documentation, and continuous improvement initiatives.
• Follow MLOps best practices for model deployment, monitoring, and lifecycle management.
• Design, develop, and deploy AI/ML models for enterprise applications.
• Build scalable machine learning pipelines and data preprocessing workflows.
• Develop and optimize LLM, NLP, and Generative AI solutions.
• Integrate AI models with cloud platforms and production systems.
• Monitor model performance, retrain models, and improve model accuracy.
• Build scalable inference pipelines and support production AI deployments.
• Collaborate with Data Engineers, Data Scientists, and Software Development teams.
• Participate in model evaluation, testing, documentation, and continuous improvement initiatives.
• Follow MLOps best practices for model deployment, monitoring, and lifecycle management.
Required Skills:
• Python
• TensorFlow
• PyTorch
• Scikit-learn
• Large Language Models (LLMs)
• Generative AI
• Retrieval-Augmented Generation (RAG)
• LangChain
• Vector Databases
• AWS AI/ML Services or Azure AI/ML Services
• SQL
• Data Engineering Fundamentals
• Docker
• Kubernetes
• Git
• CI/CD
• Machine Learning Pipelines
• Data Preprocessing
• Model Deployment
• NLP
• Python
• TensorFlow
• PyTorch
• Scikit-learn
• Large Language Models (LLMs)
• Generative AI
• Retrieval-Augmented Generation (RAG)
• LangChain
• Vector Databases
• AWS AI/ML Services or Azure AI/ML Services
• SQL
• Data Engineering Fundamentals
• Docker
• Kubernetes
• Git
• CI/CD
• Machine Learning Pipelines
• Data Preprocessing
• Model Deployment
• NLP
Preferred Qualifications:
• Experience with MLflow or Kubeflow.
• Experience with Apache Spark or PySpark.
• Experience using Hugging Face Transformers.
• Experience with Databricks and Snowflake.
• Knowledge of Knowledge Graphs and Graph Databases.
• Experience implementing enterprise MLOps solutions.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Experience with MLflow or Kubeflow.
• Experience with Apache Spark or PySpark.
• Experience using Hugging Face Transformers.
• Experience with Databricks and Snowflake.
• Knowledge of Knowledge Graphs and Graph Databases.
• Experience implementing enterprise MLOps solutions.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Best Regards:
Sophia Sinclair
Phone:
Email:
Sophia Sinclair
Phone:
Email:
Skills
Docker
SQL
AWS
MLOps
MLflow
Machine Learning
NLP
Scikit-learn
Snowflake
Apache
Apache Spark
Azure
Databricks
Generative AI
Git
Hugging Face
Kubernetes
LLM
PyTorch
Python
TensorFlow
Similar jobs
Senior AI/ML Engineer
QTech US Inc · Philadelphia, United States
2 minutes agoAI/ML Engineer - Agentic Behaviour & LLM Tuning
Reveille Technologies · Woodbridge Township, United States
1 hour agoAI/ML Engineer
Data Wave Technologies Inc · Charlotte, United States
1 hour agoSenior AI & ML Engineer/Architect Microsoft Fabric & Agentic AI
Marici Solutions · United States
2 hours agoAI/ML Engineer at Charlotte, NC (Hybrid)
Data Wave Technologies Inc · Charlotte, United States
2 hours agoSenior AWS Datalake AI/ML Engineer
Procal Technologies · Cambridge, United States
2 hours ago