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 architecture experience : Strong understanding of agentic frameworks/tools : Architecture & 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, Azure, 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 (Azure DevOps, Scrum).
Preferred:
Relevant certifications in AI, machine learning, or data science (e.g., AWS Certified Cloud / AI practitioner, Azure Fundamentals)
