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A leading global consultancy seeks an AI/ML developer to design innovative systems using machine learning and generative AI. The role offers a salary up to $125,000, flexible living locations, and opportunities to work on advanced AI technologies. Candidates should have significant experience in AI development with a strong knowledge of Python and various AI libraries.
Employer Industry: Global Consultancy
Why consider this job opportunity:
- Salary up to $125,000
- Opportunity to participate in an annual incentive compensation program
- Comprehensive benefits package including medical, dental, and vision coverage
- Flexible living locations across the U.S. or Canada with travel opportunities as needed
- Work on innovative AI technologies and solutions in a collaborative environment
- Engage in continuous learning and stay informed on the latest AI trends
What to Expect (Job Responsibilities):
- Design and develop AI-powered systems using traditional machine learning and generative AI techniques
- Build intelligent applications and agents that can perform tasks autonomously or interactively
- Create modular, well-documented APIs and service components for model integration
- Develop and manage data pipelines for model training, including data collection and quality assurance
- Collaborate with cross-functional teams to ensure seamless transition of AI solutions to production
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 (Azure, AWS) and containerization tools (Docker)
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
How to Stand Out (Preferred Qualifications):
- Exposure to agent frameworks (e.g., LangGraph, 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)
- Ability to communicate effectively with both technical and non-technical audiences
#AI #MachineLearning #Consultancy #CareerOpportunity #CompetitivePay
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