Job Details

Employer Industry: Global Consultancy

Why consider this job opportunity:
- Salary up to $125,000
- Opportunity to participate in annual incentive compensation program, reflecting a pay-for-performance philosophy
- Access to comprehensive benefits, including medical, dental, and vision coverage, as well as wellness programs
- Flexible living locations across the U.S. or Canada with the ability to travel as needed
- Engage with emerging AI technologies and collaborate with cross-functional teams
- Chance to work on innovative projects that drive strategic growth and operational transformation

What to Expect (Job Responsibilities):
- Design and develop AI-powered systems using machine learning and generative AI techniques
- Build intelligent applications and agents capable of performing tasks autonomously or interactively
- Create modular, well-documented APIs and service components for model integration
- Develop and manage data pipelines to support model training, including data collection and quality assurance
- Implement mechanisms to monitor AI system behavior, ensuring accuracy and reliability

What is Required (Qualifications):
- Minimum of 4 years of hands-on experience in AI/ML development or intelligent application engineering
- Proficiency in Python and familiarity with modern ML/AI libraries such as scikit-learn, PyTorch, and TensorFlow
- Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks
- Familiarity with cloud platforms like Azure or AWS and containerization tools such as Docker
- Bachelors degree in Computer Science, Engineering, Data Science, or a related field

How to Stand Out (Preferred Qualifications):
- Exposure to agent frameworks like LangGraph or AutoGen and vector databases
- Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring
- Familiarity with orchestration standards or tools such as MCP or agent routing protocols
- Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud)
- Strong ability to communicate effectively with both technical and non-technical audiences

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