Hiring | AI/ML Architect | W2 only \ Remote
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Mar 19, 2026, 12:05:22 PM (17 hours ago) Mar 19
to Naga Naga
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Please share profiles on below Requirement
W2 only
Job Title: AI / ML Architect (Python, Azure)
Employment Type: Contract / Full-Time
Work Authorization: Independent visas only
Start: Immediate
Location: Remote
Experience : 12+
Job Description
We are looking for experienced AI / Machine Learning Engineers/ Architect 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.
Please share profiles on below Requirement
W2 only
Job Title: AI / ML Architect (Python, Azure)
Employment Type: Contract / Full-Time
Work Authorization: Independent visas only
Start: Immediate
Location: Remote
Experience : 12+
Job Description
We are looking for experienced AI / Machine Learning Engineers/ Architect 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.
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