Saket, Delhi Senior ai/ml engineer Jobs – 237 Open Jobs Today

Semantic AI/ML Engineer
Luxoft —Noida, Uttar Pradesh
- English
- Java
- Master's degree
Senior Software Engineer- RoR
vConstruct —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Master's degree
- Databases
Senior AWS Migration Engineer with Gen AI
EPAM Systems, Inc. —Gurugram, Haryana
- Master's degree
- AWS
- Computer networking
- Health insurance
- Paid time off
Lead AI Engineer
SimCorp A/S —Noida, Uttar Pradesh
- Full-time
- English
- Master's degree
- Databases
Senior AI/ ML Engineer
Friends Color Images —Noida, Uttar Pradesh
- Full-time
- Azure
- Java
- Master's degree
- Commuter assistance
- Health insurance
Senior AI Engineer
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Engineering
Data Engineering Lead-AWS, Python, Spark, Pyspark
Optum —Gurugram, Haryana
- Full-time
- Azure
- Writing skills
- System design
- Health insurance
4d
Senior Machine Learning Engineer
Aftershoot —Delhi, Delhi
- Full-time
- Hybrid work
- Azure
- Research
- AWS
Senior/Lead Data Engineer - DATA & AI
Srijan Technologies PVT LTD —Gurugram, Haryana
- Master's degree
- Databases
- SQL
Quick apply
Senior Data Engineer - T&T
McCormick —Gurugram, Haryana
- Azure
- Computer Science
- SQL
- Paid time off
Senior Engineering Manager, Agentic AI, Adobe Express
Adobe —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Bachelor's degree
- AI
12d
Senior AI Engineer – Agentic AI, LLMs & Marketing Intelligence
Resolink Technologies Private Limited —Gurugram, Haryana
- ₹15,00,000 - ₹25,00,000 a year
- Azure
- Computer Science
- Master's degree
Quick apply
6d
Senior MLOps Engineer
Hindustan Recruitment Services Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- AWS
Quick apply
9d
Senior AI/ML Engineer
EA Technologies —Noida, Uttar Pradesh
- Azure
- Computer Science
- DevOps
ML Engineer I
UST —Noida, Uttar Pradesh
- Machine learning
- AI
- Python
Quick apply
Senior Manager, AI Engineering
Anaplan —Gurugram, Haryana
- Email
- Azure
- Doctoral degree
- Computer Science
Quick apply
Agentic/AI lead/architect with Claude/code/LLM skills1
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Master's degree
- AWS
Senior Data Engineer - Gurugram
CLANX —Gurugram, Haryana
- ₹30,00,000 - ₹40,00,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- System design
2d
Associate- AI/ML Engineer(Sustainability)
Bain & Co. —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
1d
Senior Staff Engineer - 5G System Engineer
Qualcomm —Delhi, Delhi
- Doctoral degree
- Computer Science
- Engineering

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Semantic AI/ML Engineer

Luxoft -
Noida, Uttar Pradesh

Apply Now

Job details

Qualifications

Ontology
Data modelling
Law
Enterprise Software
NoSQL
English
SPARQL
Taxonomy
Java
Master's degree
Databases
Scripting
RDF
Semantic Web
Linked data
APIs
Metadata
AI
Graph databases
Python

Full job description

Project description

We are seeking a Senior Semantic Engineer to implement semantic data frameworks that provide a shared structure for enterprise data. In this role you will focus on building and maintaining ontologies and knowledge graphs, enforcing semantic validation rules for data quality, and collaborating with AI teams to integrate these semantic structures into intelligent applications. The position is industry-agnostic, emphasizing strong semantic web expertise and the ability to apply it in any enterprise context.

Responsibilities

Ontology Design & Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar) that model key enterprise data domains and relationships, ensuring a consistent and shared data vocabulary across the organization. This includes collaborating with domain experts to capture real-world concepts and validate that the ontology accurately represents business knowledge.

Knowledge Graph Development: Build and manage enterprise knowledge graphs based on the defined ontologies, linking diverse data sources into a unified graph data model. This involves configuring graph databases or triple stores, populating the knowledge graph with data (RDF triples), and optimizing it for query performance and scalability.

Semantic Querying (SPARQL): Create and optimize SPARQL queries to enable efficient retrieval, integration, and analysis of data from the knowledge graph. You will develop semantic queries and endpoints that support advanced search and analytics use cases, making it easier for others to retrieve insights from linked data.

Validation Rules & Data Quality: Implement semantic validation rules and consistency checks (e.g., using SHACL or OWL constraints) to ensure data integrity and quality within the ontology and knowledge graph. You will define and enforce data modelling conventions and business rules so that enterprise data conforms to the ontology's standards and remains interoperable across systems.

Integration with Enterprise Systems: Work closely with software engineers, data architects, and IT teams to integrate the ontology and knowledge graph into the organization's existing data infrastructure and workflows. This includes embedding semantic models in data pipelines, APIs, and databases, so that enterprise applications can produce and consume linked data seamlessly.

Collaboration & Cross-Functional Support: Collaborate with cross-functional teams and stakeholders. For example, partner with AI/ML teams to incorporate the knowledge graph into AI-driven solutions, and team up with business analysts or data stewards to align the semantic models with business needs. You will communicate semantic concepts to non-technical stakeholders, providing training or documentation to ensure adoption of the semantic framework across the organisation.

Integration with AI Agents: Work with AI agents and large language model (LLM) teams to leverage the ontology and knowledge graph for intelligent applications. For instance, you might enable an AI chatbot to use the knowledge graph for more context-aware responses, or develop mechanisms for AI systems to perform reasoning over the ontologies. This responsibility ensures that semantic data structures enhance AI initiatives (e.g. improving context, disambiguation, and knowledge retrieval in AI workflows).

Standards & Best Practices: Stay current with emerging semantic web standards, tools, and best practices. Continuously improve the semantic architecture by adopting relevant metadata standards and ensuring alignment with industry best practices for ontologies and knowledge graphs. You will also contribute to establishing internal guidelines and best practices for semantic data management, promoting a culture of well-structured, semantically-rich data across the enterprise.

Skills

Must have

Ontology Design & Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar).

Semantic Web Proficiency: Strong knowledge of semantic web technologies and standards

specifically, hands-on proficiency with OWL (Web Ontology Language) and RDF (Resource Description Framework) for ontology modelling, as well as SPARQL for querying graph data.

Knowledge Graph Experience: Practical experience building or maintaining knowledge graphs or linked data systems in an enterprise setting.

Data Modelling & Integration Skills: A solid understanding of data modelling principles, data architecture, and integrating heterogeneous data sources. You should be capable of abstracting real-world entities into a semantic schema and mapping relational or NoSQL data to an ontology.

Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar)

Nice to have

Metadata Standards: Familiarity with metadata standards and vocabularies such as Dublin Core, schema.org, or other industry-specific ontologies/taxonomies. Experience applying these standards to annotate or integrate data

AI and LLM Integration: Experience working on projects that involve AI agents or large language models, where ontologies or knowledge graphs were used to improve AI performance.

Enterprise System Integration: Proven experience integrating semantic technologies into existing enterprise systems or data platforms.

Tools & Platforms: Hands-on experience with ontology and knowledge graph tools is beneficial.

Other

Languages

English: C1 Advanced

Seniority

Senior

Noida, India

Req. VR-120195

AI/ML

BCM Industry

08/07/2026

Req. VR-120195

Apply Now

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senior ai/ml engineer jobs in saket, delhi

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Agentic/AI lead/architect with Claude/code/LLM skills1

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Senior Staff Engineer - 5G System Engineer

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