Job Description: Microsoft AI Engineer (Contract Role - Onsite in Virginia/DC/Maryland )
Position: Microsoft AI Engineer with Clearance, ideally a Veteran
Contract Duration: 12 Months contract-to-hire
About the Role:
We are looking for a skilled Microsoft AI Engineer to join our team onsite in Virginia/ DC / Maryland. The ideal candidate will have deep expertise in Microsoft AI technologies, a strong foundation in machine learning, and the ability to build, implement, and optimize AI-driven solutions to meet enterprise needs.
Key Responsibilities:
- AI Solution Development:
- Design and develop AI-based applications using Microsoft technologies, including Azure Machine Learning, Cognitive Services, and Power Platform AI Builder.
- Build custom machine learning models and integrate them into business solutions.
- Data Engineering & Preparation:
- Preprocess and analyze large datasets to enable accurate and efficient AI model training.
- Develop pipelines for data collection, transformation, and storage using Azure Data Factory and Azure Databricks.
- AI Deployment & Optimization:
- Deploy machine learning models on cloud platforms like Azure Kubernetes Service (AKS) or Azure Functions.
- Continuously monitor and refine AI models to ensure optimal performance and reliability.
- Collaboration & Documentation:
- Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to align AI solutions with organizational objectives.
- Create detailed documentation for AI models, data workflows, and solution architectures.
Required Qualifications:
- Experience:
- Proven experience (3-5 years) working with Microsoft AI tools and platforms.
- Hands-on expertise in Azure Machine Learning, Cognitive Services, and related Azure AI tools.
- Proficiency in Python or R for machine learning and AI development.
- Top Secret Clearnce, ideally from a military background
- Skills:
- Strong understanding of machine learning algorithms, natural language processing (NLP), and computer vision techniques.
- Experience with cloud-based AI deployments, including containerized solutions using Docker or Kubernetes.
- Knowledge of MLOps practices for continuous integration and deployment of machine learning models.
- Certifications:
- Relevant Microsoft certifications such as Azure AI Engineer Associate or Azure Data Scientist Associate.
Preferred Qualifications:
- Familiarity with other AI frameworks, such as TensorFlow or PyTorch, in conjunction with Microsoft tools.
- Experience with Power BI integration and real-time AI analytics.
- Strong understanding of cybersecurity implications in AI implementations.
What We Offer:
- Competitive contract compensation.
- Opportunity to work on cutting-edge AI technologies in a Microsoft ecosystem.
- A collaborative environment with opportunities for professional growth.
- Training and accreditation in AI
