Role Definition: This is a specialized role for an AI Software Engineers design, build, and deploy scalable AI models and systems. They work with machine learning frameworks, cloud platforms, and data engineering tools to create and optimize AI solutions.
Bachelors/Masters in Software engineering or AI
Skills:
Proficient:
- Languages/Framework: Fast API, Azure UI Search API (React)
- Cloud: Azure Cloud Basics (Azure DevOps)
- Gitlab: Gitlab Pipeline
- Ansible and REX: Rex Deployment
- Data Science: Prompt Engineering + Modern Testing
- Data pipeline development
- Understanding of AI/ML algorithms and their applications
- MLOps frameworks
- Knowledge of cloud platforms (Azure ML especially)
- Model deployment process
o Data pipeline monitoring
Expert: (in addition to proficient skills)
o Languages/Framework: Azure Open AI
o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search
o Databases and ETL: Azure Storage Account, Postgresql, Cosmos
o Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
o Knowledge of cloud platforms (AWS SageMaker, Google AI Platform)
o Expertise in data preprocessing, feature engineering, and model evaluation
o Understanding of software engineering principles (version control, CI/CD, containerization)
o Familiarity with distributed computing and big data tools (Spark, Hadoop)
o Ability to optimize models for performance and scalability
o Experience with Azure AI Search
Job Type: Contract
Contract length: 12 months
Experience:
- AI Engineer: 5 years (Required)
- Fast API: 1 year (Required)
- Data Science: 1 year (Required)
- Cloud: 1 year (Required)
- MLOps: 1 year (Required)
