AI Data Scientist - AI Agents & Knowledge
- Kpr sugar apperals
- 4 to 8 Yrs
- Chennai
- 20 days ago
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Job Description
- Job Summary: We are seeking a highly skilled Data Scientist with expertise in AI agents, generative AI, and knowledge engineering to enhance our AI-driven cloud governance solutions. This role focuses on advancing multi-agent systems, leveraging LLMs, and integrating knowledge graphs (OWL ontologies) in a Python environment. You will work at the intersection of machine learning, AI-driven automation, and cloud governance, helping to design intelligent agents that adapt dynamically to cloud ecosystems. Your contributions will directly impact FinOps, SecOps, CloudOps, and DevOps by providing scalable, AI-enhanced decision-making, workflows, and monitoring. Key Responsibilities AI Agent Development & Enhancement Design, develop, and optimize LLM-based multi-agent systems for cloud governance. Implement agent collaboration using frameworks like LangChain, AutoGen, or open-source MAS architectures. Develop adaptive AI workflows to improve governance, compliance, and cost optimization. Generative AI & Knowledge Engineering Apply generative AI techniques (e.g., GPT-4, Google Gemini, fine-tuned BERT models) to knowledge representation and reasoning. Design and manage knowledge graphs, OWL ontologies, and SPARQL queries for intelligent decision-making. Enhance AI agent knowledge retrieval using symbolic reasoning and semantic search. Machine Learning & NLP Develop embedding-based search models for retrieving and classifying cloud governance documents. Fine-tune BERT, OpenAI embeddings, or custom transformer models for document classification and recommendation. Integrate discrete event simulation (DES) or digital twins for adaptive cloud governance modeling. Cloud Governance & Automation Work with multi-cloud environments (AWS, Azure, GCP, OCI) to extract, analyze, and manage structured/unstructured cloud data. Implement AI-driven policy recommendations for FinOps, SecOps, and DevOps workflows. Collaborate with CloudOps engineers and domain experts to enhance AI-driven automation and monitoring. Required Qualifications 4+ years of experience in Data Science, AI, or Knowledge Engineering. Extensive knowledge or experience is Knowledge Engineering is preferred. Strong proficiency in Python and relevant ML/AI libraries (PyTorch, TensorFlow, scikit-learn). Hands-on experience with knowledge graphs, OWL ontologies, RDF, and SPARQL. Expertise in LLMs, NLP, and embedding-based retrieval (OpenAI, Cohere, Hugging Face models). Familiarity with multi-agent systems, LangChain, AutoGen, or similar frameworks. Experience working with cloud platforms (AWS, Azure, GCP) and AI-driven cloud governance. Preferred Qualifications Experience with knowledge-driven AI applications in cloud governance, FinOps, or SecOps. Understanding of semantic search, symbolic AI, or rule-based reasoning. Familiarity with event-driven architectures, digital twins, or discrete event simulation (DES). Background in MLOps, AI pipelines, and cloud-native ML deployments. What We Offer Opportunity to work on cutting-edge AI agent ecosystems for cloud governance. A collaborative environment where AI, knowledge engineering, and cloud automation converge. Competitive compensation, benefits, and flexible work arrangements (remote/hybrid).The ideal candidate will thrive in a fast-paced environment, demonstrate intellectual curiosity, and have a passion for applying advanced AI techniques to solve real-world cybersecurity challenges.,
Employement Category:
Employement Type: Full timeIndustry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: AI Data Scientist - AI Agents & Knowledge
Contact Details:
Company: CoreStackLocation(s): Chennai
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Keyskills: knowledge engineering Python machine learning NLP automation RDF SPARQL AWS Azure GCP semantic search discrete event simulation PyTorch TensorFlow
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