Data Scientist / Graph AI Engineer - Only USC/GC Holder (10+ years of exp) - Programmers.io : Job Details

Position: Data Scientist / Graph AI Engineer. Open for FTE and contract both. Location: Austin, TX.

We are seeking a Data Scientist / Graph AI Engineer with deep expertise in semantic graph analytics, AI-driven anomaly detection, and large language models (LLMs). This role involves designing, implementing, and validating novel methodologies to transform machine log data into ontology-driven semantic graphs that enable clustering, anomaly detection, and downstream analytics. The candidate should be a thinker, builder, and innovator who thrives in customer-centric environments, can invent intellectual property, and can operate at the intersection of data engineering, graph representation learning, and AI/LLM-based methodology creation.

Note: This description reflects the core role and qualifications; other job postings and salary blocks present in the original content have been removed as unrelated boilerplate.

• Design, implement, and validate methods to convert machine log data into ontology-driven semantic graphs.
• Apply graph analytics for clustering, anomaly detection, and downstream insights.
• Explore and implement AI/LLM-based approaches for data representation, semantic reasoning, or code generation where relevant.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Contribute to IP creation through novel algorithms, patents, or publications where applicable.

• Graph Expertise: Strong background in graph databases (Neo4j, TigerGraph), graph processing (NetworkX, DGL, PyTorch Geometric), and ontology modeling (OWL, RDF, Protégé).
• Machine Learning: Experience with graph embeddings, anomaly detection, clustering, and time-series analysis.
• AI/LLM Innovation: Hands-on experience applying or extending large language models for data representation, semantic reasoning, or code generation.
• Programming & Engineering: Proficient in Python, PyTorch/TensorFlow, Spark, and cloud-native pipelines.
• Research & IP Creation: Track record of innovation (patents, publications, novel algorithms).
• Communication: Ability to engage stakeholders with clarity, empathy, and influence.
• Experience with Splunk log data or similar enterprise log platforms.
• Familiarity with graph-based anomaly detection benchmarks and scalable ML infrastructure.

• Mid-Senior level

• Contract
• Full-time (FTE) also considered

• Information Technology

• IT Services and IT Consulting

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