Job Type: Contract

Job Category: IT

Job Description

Job Title: AI/ML Application Developer
Location: Charlotte, NC & Atlanta, GA

Job Summary:

We are seeking a highly skilled AI/ML Application Developer to design, develop, and deploy AI/ML applications leveraging Azure AI and AWS AI services. The ideal candidate will have experience in machine learning, data processing, API development, containerization, MLOps, and security implementation.

Key Responsibilities:

AI/ML Application Development

• Develop end-to-end AI/ML applications using Python, integrating Azure AI and AWS AI services.
• Implement and fine-tune machine learning models using Azure Machine Learning and Amazon SageMaker, leveraging TensorFlow and PyTorch.
• Build natural language processing (NLP) applications using Azure AI Language, Amazon Comprehend, and Hugging Face transformers.
• Create AI solutions using Azure OpenAI Services, Amazon Bedrock, and Azure Cognitive Services for computer vision and speech recognition.

Data Processing & Analysis

• Develop data pipelines using Azure Data Factory, AWS Glue, and PySpark.
• Implement ETL processes with Azure Synapse Analytics and AWS Glue.
• Utilize pandas, NumPy, and Databricks for data manipulation and analysis.

API Development & Microservices

• Develop RESTful APIs using Azure Functions or AWS Lambda with Flask or FastAPI.
• Create serverless AI-driven microservices on Azure Container Apps or AWS Fargate.
• Build scalable API architectures using Azure API Management or Amazon API Gateway.

Containerization

• Deploy AI/ML applications using Azure Kubernetes Service (AKS) or Amazon EKS.
• Write Dockerfiles and configure containerized AI/ML services.

MLOps Practices

• Implement model versioning and experiment tracking with Azure ML or MLflow.
• Automate testing for AI/ML models using Azure Pipelines, AWS CodePipeline, and Pytest.
• Develop monitoring strategies using Azure Monitor or Amazon CloudWatch.

Monitoring & Observability

• Implement logging and monitoring for AI applications with Azure Application Insights or AWS CloudWatch.
• Develop custom AI monitoring dashboards using Azure Dashboards or Amazon QuickSight.

Security Implementation

• Implement encryption mechanisms using Azure Key Vault or AWS Key Management Service.
• Enforce security best practices with Azure Security Center or Amazon Inspector.

Qualifications:

• Strong Python programming experience with AI/ML libraries and cloud-based AI services.
• Hands-on experience in developing production-ready AI/ML applications on Azure and AWS.
• Expertise in data processing, ETL pipelines, and Python data analysis.
• Proficiency in containerization (Docker, Kubernetes, AKS, EKS).
• Experience with serverless APIs using Azure Functions or AWS Lambda.
• Familiarity with MLOps, model deployment, and ML monitoring tools.
• Strong understanding of security best practices in cloud-based AI/ML development.
• Excellent problem-solving skills and communication.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field (or equivalent experience).

Why Join Us?

• Exciting AI/ML projects with cutting-edge cloud-based solutions.
• Opportunities for growth in AI, cloud, and MLOps technologies.
• Competitive salary and benefits package.

Locations: Charlotte, NC & Atlanta, GA
If you're passionate about AI/ML development, apply now to join our team!

Required Skills