Description

You will drive AI solutions through statistical analysis, graph-based intelligence, and NLP pipeline development.

This role is on-site.

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 as part of AI/ML engineering efforts.
• Apply ML Ops fundamentals, including experiment tracking, metric monitoring, and reproducibility.
• Collaborate with teams to translate analytical findings into production-grade capabilities.

Required Skills

• 10+ years of experience in statistical modeling, clustering techniques, and probability-based analysis.
• Hands-on expertise in graph data analysis, including anomaly detection and distribution pattern extraction.
• Strong NLP skills with practical experience in NER, entity/ontology extraction, and related evaluation methods.
• Engineering-forward mindset capable of building, deploying, and optimizing real-world solutions.
• Proficiency in Python and common data science/AI libraries.
• Working knowledge of ML Ops basics, including experiment tracking and key model metrics.
• Experience applying ML Ops principles.

Key Skills

Education

Bachelor's degree