Senior AI/ML Engineer

Remote in Philadelphia, PA, US • Posted 2 hours ago • Updated 1 hour ago
Contract W2
On-site
$DOE
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Fitment

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Job Details

Skills

  • Git
  • CI/CD
  • SQL
  • NLP
  • Docker
  • Kubernetes
  • Machine Learning
  • Data Engineering

Summary

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)
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.
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.
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
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.
Best Regards:
Sophia Sinclair
Phone:
Email:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91124817
  • Position Id: 2026-416
  • Posted 2 hours ago

Company Info

About QTech US Inc

QTech is a fast-growing, global, innovative IT Services firm offering end-to-end solutions for all of your IT challenges. We are specialized in Software Development, Business Analysis, Agile Transformation, Data Analytics, Business Intelligence, and Digital Transformation. We provide managed Services to our big and small clients through IT Consulting, Custom Software Development, Data Analytics, and IT Staffing. We provide custom solutions for our clients designed around their specific needs. No two clients are the same to us. Our focus is on providing custom solutions to complex IT business problems with a hands-on approach to create environments and systems that meet our customer's industry-specific needs. We strive to truly partner with our clients by listening first and working through the issues together to allow them to achieve the maximum benefit from their data and technology. We have the best resources and top-notch talent who can optimize and deliver cost-effective solutions to your issues.

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