AI Architect

Job Title: Architect/ Sr. Architect - ML

Location: Pune

Employment Type: Full-Time

Experience: 8?12 Years

About the Role

We are hiring an ML architect with deep expertise in Ontology Engineering,
Knowledge Graphs, Entity Disambiguation, Semantic Systems, and NLP to build
enterprise-grade intelligent platforms.
This role is ideal for someone who has moved beyond experimental ML and has built
production-scale semantic AI systems for large datasets and complex business
domains (BFSI, Healthcare, Retail, Enterprise SaaS, etc.).

You will play a key role in architecting structured knowledge-driven AI systems that
power contextual search, reasoning engines, and next-generation AI applications.

Key Responsibilities

? Design and implement domain ontologies and semantic models aligned to
business use cases

? Build and scale Knowledge Graph architectures (RDF/OWL/SPARQL
preferred)

? Develop advanced Entity Detection & Entity Disambiguation (ED) pipelines

? Implement NLP models for semantic understanding, information extraction, and
entity linking

? Integrate Knowledge Graphs with ML pipelines and LLM-based applications

? Develop scalable, production-ready ML systems using Python (mandatory)

? Work closely with data engineering teams on data ingestion, transformation, and
graph population

? Ensure explainability, governance, and semantic consistency in AI systems

? Mentor junior engineers and contribute to architectural decisions

Must-Have Technical Skills
Core Expertise

? 8?12 years of hands-on experience in ML / AI Engineering

? Strong practical experience in:

? Ontology design and modeling

? Knowledge Graph construction and maintenance

? Entity Recognition & Entity Disambiguation

? Semantic reasoning systems

? NLP (NER, relation extraction, classification)
Programming

? Expert-level Python (mandatory)

? Experience with ML frameworks (PyTorch / TensorFlow / Scikit-learn)

? Experience with NLP libraries (SpaCy, Hugging Face, NLTK, etc.)
Knowledge Graph & Semantic Stack

? RDF / OWL / SPARQL

? Graph databases (Neo4j, Blazegraph, Amazon Neptune, etc.)

? Experience with ontology tools (Prot?g? or similar)
Production & Cloud

? Experience deploying ML models to production

? REST APIs / microservices architecture

? Cloud exposure (AWS / Azure / GCP)

? CI/CD understanding for ML systems

Good to Have:

? Experience in enterprise AI deployments

? Exposure to LLM + Knowledge Graph integration

? Experience handling multilingual NLP (especially Indian languages)

? Familiarity with data governance and regulatory environments

? Experience working in global delivery models
Ideal Candidate Profile

? Strong system design and architecture thinking

? Ability to translate ambiguous business problems into scalable AI solutions

? Comfortable working with large structured + unstructured datasets

? Strong communication skills to work with global stakeholders

? Experience mentoring or leading small teams

Why This Role is Strategic
India is seeing rapid growth in:

? Enterprise AI

? Knowledge-driven systems

? Semantic search platforms

? LLM + structured data integration

This role directly contributes to building next-gen AI systems beyond traditional ML
pipelines.?

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.