RL
AI Engineer
Resource Logistics, Inc.
🇺🇸 United States
Hybrid
3 months ago
- AI
- Machine Learning
- Python
- TensorFlow
- PyTorch
- scikit-learn
- Natural Language Processing
- Computer Vision
- Hadoop
- AWS
- GCP
- Agile
- Devops
- Scrum
3 months ago
Location: St Louis, MO (Remote)
Must Have-
Applied Agentic AI engineering experience: evidence of building Agentic workflows - ideally delivered into a real project- Please share for all submissions.
Modern multi-agent Clienthitecture experience:
Strong understanding of agentic frameworks/tools:
Clienthitecture & design contribution capability
JD:
Master’s or Ph.D. degree in Computer Science, Information Technology, Data Science, Artificial Intelligence or a related field or Bachelor’s with minimum 5 years experience.​
Proven experience as an AI Engineer, Machine Learning Engineer, or similar role.​
Experience in developing and deploying machine learning models and AI systems.​
Proficiency in programming languages such as Python or R​
Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).​
Experience with natural language processing (NLP), computer vision, or other AI techniques.​
Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Clienture, Google Cloud)​
Strong analytical skills and the ability to work with complex datasets.​
Excellent problem-solving skills with a focus on developing innovative AI solutions.​
Excellent verbal and written communication skills.​
Ability to work collaboratively in a cross-functional team environment.​
Strong organizational skills and the ability to manage multiple AI projects simultaneously.​
Experience with Agile methodologies and tools (Clienture DevOps, Scrum).​
​
​Preferred:​
​Relevant certifications in AI, machine learning, or data science (e.g., AWS Certified Cloud / AI practitioner, Clienture Fundamentals)​
AI Engineer · Resource Logistics, Inc.