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AI Solutions Architect

2 weeks ago

India ZIONCLOUD SOLUTIONS PRIVATE LIMITED Full time
About Us
Zioncloud Solutions Private Limited is a leading provider of innovative AI solutions. We are seeking an experienced AI Engineer to join our team.

Job Summary
We are looking for a skilled AI Engineer to design, build, and deploy AI-powered agents, knowledge graphs, and AI-driven solutions. The ideal candidate will have experience working with large language models (LLMs), knowledge graph technologies, and cloud platforms like Azure Machine Learning Studio and Google Vertex AI.

Key Responsibilities
- Design and implement AI-powered agents for applications such as virtual assistants, customer service bots, and task automation systems using LLMs and other AI models.
- Develop and implement knowledge graphs for enterprise data integration, enhancing the retrieval, structuring, and management of large datasets to support decision-making.
- Collaborate with business units to optimize workflows using AI-driven solutions, automating decision-making processes and improving operational efficiency.
- Implement robust AI/ML pipelines that follow CI/CD best practices to ensure continuous integration and deployment of AI models across different environments.
- Establish processes for real-time model monitoring, including tracking performance, drift detection, and accuracy of models in production environments.
- Develop automated or semi-automated pipelines for model retraining based on changes in data patterns or model performance.

Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 3 years of experience as an AI Engineer, focusing on AI-powered agent development, knowledge graphs, AI-driven process optimization, and MLOps practices.
- Proficiency in working with large language models (LLMs) such as GPT-3/4, GPT-J, BLOOM, or similar, including both open-source and commercial variants.
- Experience with knowledge graph technologies, including ontology design and graph databases (e.g., Neo4j, AWS Neptune).
- AI Ops/MLOps Expertise: Hands-on experience with AI/ML CI/CD pipelines, automated model deployment, and continuous model monitoring in production environments.