AI/ML Architect - W2 Only

Remote • Posted 12 hours ago • Updated 12 hours ago

Contract Independent

Contract W2

No Travel Required

Remote

$45 - $50/hr

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

Docker
Databricks
Python
Microsoft Azure

Summary

Job Title: AI / ML Architect (Python, Azure)
Start: Immediate
Location: Remote
Experience : 10+

Job Description

We are looking for experienced AI / Machine Learning Engineers with strong Python development skills and hands-on experience in Azure Cloud. The ideal candidate will have a solid background in building, training, and deploying machine learning models in enterprise environments and working closely with data engineering and cloud teams.

This role will focus on designing scalable AI/ML solutions and supporting end-to-end model development and deployment using Microsoft Azure services.

Key Responsibilities

Design, develop, and deploy AI/ML models using Python.
Build and optimize machine learning pipelines for training, testing, and inference.
Work with structured and unstructured data to create predictive and analytical models.
Deploy ML solutions on Azure Cloud using services such as Azure ML, Azure Data Factory, and Azure Databricks.
Collaborate with data engineers, architects, and business stakeholders to translate requirements into AI-driven solutions.
Monitor model performance and continuously improve accuracy and scalability.
Ensure best practices for security, performance, and cost optimization in cloud-based ML solutions.

Required Skills & Qualifications

Strong experience in AI / Machine Learning concepts and implementations.
Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.).
Hands-on experience with Azure Cloud and Azure AI/ML services.
Experience with data preprocessing, feature engineering, and model evaluation.
Understanding of MLOps concepts, CI/CD pipelines, and model deployment.
Strong analytical, problem-solving, and communication skills.

Nice to Have

Experience with Azure Databricks, Azure Synapse, or Data Factory.
Knowledge of Deep Learning, NLP, or Computer Vision use cases.
Exposure to DevOps/MLOps tools (Docker, Kubernetes, MLflow).
Prior experience working in enterprise or large-scale environments.

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: 90915884
Position Id: 8917662
Posted 12 hours ago

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