Description

You will develop and deploy data-driven models to inform AI solutions.

Responsibilities

• Perform statistical analysis, clustering, and probability modeling to drive insights.
• 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 as part of AI/ML engineering efforts.
• Apply ML Ops fundamentals, including experiment tracking and metric monitoring.

Required Skills

• 5+ years of experience in statistical modeling, clustering, 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; ability to build and deploy real-world solutions.
• Working knowledge of ML Ops basics, including experiment tracking.
• Proficiency in Python and common data science/AI libraries.
• Experience with Machine Learning and Data Analysis.
• Ability to collaborate cross-functionally to translate findings into production capabilities.

Key Skills

Education

Any Gradute