Description

You will drive AI-driven solutions by performing statistical analysis, clustering, and probability modeling.

Responsibilities

• Analyze graph-structured data to detect anomalies and extract probabilistic patterns.
• Build NLP pipelines focusing on NER, entity resolution, and ontology extraction.
• Develop, test, and deploy data-driven models and services in AI/ML engineering efforts.
• Apply MLOps fundamentals, managing experiment tracking and metric monitoring.
• Translate analytical findings into production-grade capabilities through prototyping and iteration.

Required Skills

• 10+ years of experience in statistical modeling and probability-based analysis.
• Hands-on expertise in graph data analysis, including anomaly detection.
• Strong NLP skills with practical experience in NER and entity/ontology extraction.
• Engineering-forward mindset for building and deploying real-world solutions.
• Working knowledge of MLOps basics, such as experiment tracking.
• Proficiency in Python and standard data science/AI libraries.
• Experience as a Data Scientist and ML Ops practitioner.
• Strong collaborative skills in applied AI environments.

Key Skills

Education

Any Gradute