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 (Protg 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

Robust 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.

📌 ML Architect (Pune)
🏢 Datametica
📍 Pune