Programmers.io
Overview
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 individual will serve as a technical pioneer, designing, implementing, and validating novel methodologies to transform machine log data into ontology-driven semantic graphs that enable clustering, anomaly detection, and downstream analytics. This role demands a thinker, builder, and innovator who thrives in customer-centric environments, can invent intellectual property, and can navigate the intersection of data engineering, graph representation learning, and AI/LLM-based methodology creation. Required Skills & Experience
Graph Expertise:
Strong background in graph databases (Neo4j, TigerGraph), graph processing (NetworkX, DGL, PyTorch Geometric), and ontology modeling (OWL, RDF, Protégé). Machine Learning:
Proven 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:
Advanced skills 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. Employment details
Employment type:
Contract Seniority level:
Mid-Senior level Location
Cupertino, CA (as per job posting); remote options not specified. How to apply
If you are interested, please apply or share your updated resume at
anas.khan@programmers.io .
#J-18808-Ljbffr
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 individual will serve as a technical pioneer, designing, implementing, and validating novel methodologies to transform machine log data into ontology-driven semantic graphs that enable clustering, anomaly detection, and downstream analytics. This role demands a thinker, builder, and innovator who thrives in customer-centric environments, can invent intellectual property, and can navigate the intersection of data engineering, graph representation learning, and AI/LLM-based methodology creation. Required Skills & Experience
Graph Expertise:
Strong background in graph databases (Neo4j, TigerGraph), graph processing (NetworkX, DGL, PyTorch Geometric), and ontology modeling (OWL, RDF, Protégé). Machine Learning:
Proven 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:
Advanced skills 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. Employment details
Employment type:
Contract Seniority level:
Mid-Senior level Location
Cupertino, CA (as per job posting); remote options not specified. How to apply
If you are interested, please apply or share your updated resume at
anas.khan@programmers.io .
#J-18808-Ljbffr