More jobs:
Job Description & How to Apply Below
Must-Have*
* (Ideally should not be more than 3-5)
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
- Proven experience in building and deploying AI/ML models in production, preferably in ITOM or ITSM domains.
- Strong knowledge of LLMs, NLP, GenAI frameworks (e.g., Lang Chain, Hugging Face, OpenAI, Azure OpenAI)
- Working knowledge of RAG, MCP
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Familiarity with SaaS architecture, microservices, APIs, and containerization (Docker, Kubernetes).
- Working knowledge of MCP (Model Context Protocol) for managing contextual integrity and dynamic prompt orchestration in GenAI systems.
- Understanding of Agentic AI architectures for autonomous task execution, planning, and orchestration using AI agents.
- Excellent communication and leadership skills.
Good-to-Have
- Relevant cloud certifications are highly desirable.
- Google Cloud Professional Machine Learning Engineer
- AWS Certified Machine Learning – Specialty
- Microsoft Certified:
Azure AI Engineer Associate
- Certified Kubernetes Application Developer (CKAD)
- Tensor Flow Developer Certificate
- OpenAI Developer Certification (if available)
- TOGAF® or other Enterprise Architecture certifications (for broader architectural alignment)
- Certified SAFe® Architect (for Agile enterprise environments)
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×