Senior Ontology & Knowledge Graph Engineer Job at NTT DATA (Bangalore)

Senior Engineer – Knowledge Graph & Context

We are seeking a visionary Senior Knowledge Graph & Context Engineer for the end...

Location

Egypt , Cairo

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

BSc or MSc in a relevant field such as Computer Science, Information Science, Data Science, Artificial Intelligence, Knowledge Engineering, Computational Linguistics, or a related discipline
1+ experience in knowledge engineering, context engineering, semantic technologies, enterprise search, GenAI / LLM solutions, or AI product enablement
Strong understanding of one or more of the following: ontologies, taxonomies, controlled vocabularies, knowledge graphs, metadata modelling, semantic enrichment, and information retrieval
Hands-on experience designing or supporting RAG pipelines, prompt / grounding patterns, context orchestration and memory management, context quality and provenance, semantic search, and evaluation of AI responses
Experience with relevant technologies such as graph databases, vector / search platforms, semantic web technologies, and cloud AI / data ecosystems. Exposure to tools and W3C standards such as RDF, OWL, SKOS, SHACL, SPARQL, Neo4j, Stardog, Ontotext GraphDB, Azure ecosystem, or equivalent, is considered a strong advantage
Experience working with enterprise knowledge and data domains such as PLM, PIM / MDM, LIMS, Regulatory, DAM, ERP, SCM, or other structured and unstructured business data sources
Strong influencing, interpersonal, and communication skills, with the ability to work effectively across Data, AI, Technology, and business functions
Experience presenting solutions, trade-offs, and recommendations to senior management and technical leadership teams

Job Responsibility

Design, build, and operationalize the enterprise context layer that supports AI assistants, semantic search, and decision-support solutions across business domains
Transform enterprise knowledge assets into reusable, trusted, and scalable context packs for Agentic AI outcomes
Design and optimize retrieval pipelines, grounding patterns, chunking strategies, metadata enrichment, and prompt/context orchestration to ensure accurate, relevant, and safe AI responses
Partner closely with Ontology Engineers, AI Engineers, and Data teams to apply semantic enrichment, taxonomies, controlled vocabularies, and relationship modelling that improve discoverability, interoperability, and reasoning
Embed policy-aware controls, access rules, governance standards, and quality checks into context pipelines to ensure compliant and trusted use of enterprise knowledge
Work with Data Platform and Engineering teams to productionize context services across graph, search, and AI ecosystems, ensuring performance, scalability, monitoring, and maintainability
Partner with Product, Data Platform, Security / Compliance, Architecture, and business domain teams to align priorities with business needs and accelerate adoption of AI-enabled knowledge solutions
Help improve findability, reuse, decision quality, and business efficiency, while tracking impact, adoption, and value realization
Support the embedding of knowledge-driven and AI-enabled processes into business workflows, tools, and digital products
Drive continuous improvement in knowledge quality, retrieval effectiveness, semantic consistency, and AI response performance

What we offer

Coaching and mentoring programs
Development opportunities
Equal opportunity employer
IT Equipment
Work with iconic brands

Senior Data Engineer

The Windows and Devices mission is to build innovative, trusted, and open produc...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or a related field OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field OR equivalent experience
Have experience building cloud-based data pipelines and data stores
7+ years of experience in data engineering or a similar role
Proficiency in programming languages such as Python, Scala or Java
Strong experience with SQL and database technologies
Familiarity with big data technologies (e.g., Hadoop, Spark)
Strong working knowledge of Microsoft Fabric components and ecosystems (e.g., OneLake, Data Factory, Synapse)

Job Responsibility

Lead critical initiatives to help our data platform scale to the needs of business priorities and technology advancements
Build scalable data models and pipelines to extract, load, and transform data, ensuring secure storage with a focus on data quality and compliance on Azure using services such as ADF, HDInsight, Fabric, and Synapse
Design and develop datasets that enable an AI-ready data platform supporting AI/ML pipelines, feature engineering, and Copilot applications
Provide technical leadership across the team by mentoring engineers and leading solution implementation in alignment with approved business and data requirements
Implement and Lead CI/CD pipelines for data engineering projects, leveraging tools like Azure DevOps
Anticipate data governance needs, design modeling and handling procedures, and ensure compliance with laws and policies governing data accessibility
Lead the design and maintenance of enterprise ontologies and semantic models to support AI and knowledge graph initiatives

Fulltime

Senior Vehicle AI Context Engineer - Semantics & Memory

With our team of Vehicle AI engineers, architects, and platform developers, you ...

Location

Germany , Munich

Salary:

Not provided

BMW

Expiration Date

Until further notice

Requirements

Master’s degree or PhD in Computer Science, AI, or a related field
At least 3 years track record of managing technical projects and driving cross-functional teams toward a common architectural goal
Deep expertise in Knowledge Graph technologies, specifically SparQL, RDF, and GraphQL
Intimate familiarity with embedded systems and how to map physical signals to semantic meaning
In-depth understanding of Agentic AI architecture, including memory management, tool-use, and multi-agent orchestration
Solid grasp of modern programming languages like Rust and Python, with a keen understanding of both embedded constraints and high-level AI frameworks
Passion for data quality and experience in designing complex information flows that fuel modern ML pipelines

Job Responsibility

Define the core semantic ontology and context data models that empower our future agentic AI for Autonomous Driving and Real-Time systems
Drive the implementation of advanced data infrastructure functions from concept to SOP as a Project Lead
Design and implement a multi-level memory concept, enabling vehicles to learn and retain context across real-time and long-term horizons with particular focus on connecting to our in-vehicle speech assistant
Orchestrate the seamless integration of ML, GenAI, and symbolic reasoning rules to curate and foster the semantic context as "brain" for the vehicle
Develop the overarching data model strategy required for fine-tuning SLMs and VLMs for agentic applications in the Autonomous Driving and Real-Time system domain
Select the technology stack (in-vehicle and toolchain) and creating high-quality reference datasets that define our AI performance

What we offer

Challenging projects with which we are shaping the mobility of tomorrow together
Wide range of personal and professional development opportunities
Attractive, fair and performance-related remuneration
High level of job security
Annual special payments such as vacation pay, Christmas bonus, and profit sharing
Flexible working hours including 6 weeks annual leave and overtime compensation
Discounted BMW & MINI conditions

Fulltime

Senior Manager - Data Sciences & Artificial Intelligence

Transformative Digital Capabilities (TDC) drives Process Development (PD) and Op...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

People leadership and line management: coaching, performance management, hiring input, workload prioritization, team health, and talent development
Technical leadership and cross-functional collaboration: guiding data scientists, AI engineers, ontology specialists, product owners, business partners, and stakeholders through delivery decisions, dependencies, and tradeoffs
Product ownership and client success: defining product vision, roadmap, backlog, prioritization, release planning, stakeholder expectations, feedback loops, adoption strategy, and measurable client outcomes
Strategic problem framing: converting ambiguous business, scientific/engineering, or operational needs into actionable product, data, and AI use cases
Ontology and knowledge graph implementation: defining and implementing controlled vocabularies, taxonomies, semantic models, entity relationships, graph data models, entity resolution approaches, and semantic query patterns
Data science and data engineering fluency: applying core principles of machine learning, in silico modeling, data modeling, data quality, metadata, data lineage, and data pipelines to define the solution to complex problems
AI engineering and application delivery: building, integrating, evaluating, and operationalizing AI/ML capabilities, including retrieval-augmented generation, context engineering, agents/workflows, evaluations, guardrails, and human-centric designs
Scientific or enterprise domain translation: bridging subject-matter experts, business stakeholders, and technical teams to ensure the product solves real problems in context and with extreme agility
Learning agility and hands-on technical credibility: demonstrating leading-edge understanding and command of AI, semantic technologies, and product practices while retaining enough depth to prototype, review designs, challenge assumptions, and unblock teams
Pragmatic prioritization and tradeoff management: balancing client needs, technical debt, delivery capacity, risk, speed, and long-term product scalability

Job Responsibility

Accountable for shaping a high-performing local team while also driving the delivery of high-impact digital capabilities for Process Development
Partner closely with an established team operating at the cutting edge of Data/Twins, AI, and Product Management, bringing the leadership judgment, technical credibility, and product mindset needed to translate complex scientific and business needs into scalable solutions
Help build a new footprint at AIN from the ground up and strengthen an industry leading capability with a track record in the digital transformation space at the intersection of science/engineering, data, modeling, and artificial intelligence

Fulltime

GenAI Product Leader – Agentic AI

Location

India , HYDERABAD

Salary:

Not provided

Wells Fargo

Expiration Date

Until further notice

Requirements

Overall 17+ years of industry experience including 7+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Job Responsibility

Define and scale enterprise Agentic AI capabilities and their operating model, ensuring consistent, secure deployment with measurable business value
Own the product vision, roadmap, and multi-release delivery plan for agent creation, execution, and orchestration platforms, leveraging multimodal inputs, semantic understanding, and deterministic + LLM hybrid approaches
Define the end-to-end value stream from observation and insight generation through optimization and autonomous execution
Establish enterprise patterns for signal-to-workflow and signal-to-API code generation, enabling reuse and accelerated automation velocity at scale
Work directly with internal customers and stakeholders to rapidly design, build, and deploy production-grade AI systems that solve real business problems
Work closely with engineering teams and customers to turn emerging AI tools into practical, usable solutions that align with how teams actually work
Ensure deployed solutions operate safely within enterprise environments, scale reliably, and demonstrate clear, quantifiable outcomes
Translate deployment learnings into reusable patterns, standards, and platform enhancements that strengthen the broader product ecosystem
Own enterprise strategy for multimodal signal capture and insight generation, including telemetry ingestion, interaction analysis, persona configuration, clickstream processing, and structured data generation
Develop enterprise guidelines for process mapping, process mining, behavioral clustering, and insight generation to drive systematic identification of automation opportunities

Fulltime

AI Solution Developer II / Senior AI Solution Developer

This role will work within our Scientific Data Technology and AI department whic...

Location

United Kingdom

Salary:

Not provided

Parexel

Expiration Date

Until further notice

Requirements

Educated to BSc. or MSc level in Engineering or Computer Science with a focus on Machine Learning (and GenAI) or other equivalent qualification/experience
Experience in Palantir Foundry, it’s ecosystem and components, including building Workshop Apps, building and deploying Modelling Objectives and managing Code Repos and Pipelines
Machine Learning, Generative AI (Gen AI), Deep Learning (building and deploying NLP systems within Palantir Foundry)
Proven CS fundamentals including data structures, algorithms, and distributed systems
Proven theoretical and practical experience in modern ML technologies, including transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
Proven software engineering fundamentals, including the ability to write production ready code, establish and enforce high engineering standards, architect packages, and own architectural and procedural choices for effective shared codebases within Foundry
Knowledge of Python and scientific computing packages (PyTorch, NumPy, Scikit-learn, TensorFlow)
Experience with data modeling and pipeline development in Palantir Foundry
Experience with frontend development for intuitive user experience
Practical understanding of database technologies including relational, non-relational and graph

Job Responsibility

Leverage Palantir Foundry to build and deploy reusable custom machine learning models, Ontologies and end-user applications
Design, implement, and document new ML/Gen AI modeling techniques and strategies
Develop ML pipelines and workflows in Foundry to support AI solution development and deployment
Review and adapt recent research in ML and Gen AI into Foundry-based prototypes and production solutions
Review code and pipelines of other engineers to enhance ML quality and security within Foundry
Understand business needs and user workflows and support interpretation in the context of potential AI solutions in Foundry
Support development of custom models and AI / Gen AI solutions using Foundry's ML capabilities to address business needs
Lead experiment and model evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices within Foundry
Carry out AI solution prototyping and experimentation using Foundry's tools, various LLMs and environments
Collaborate with Product to define and implement features to satisfy customer requirements within Foundry

What we offer

competitive base salary
holiday
private healthcare
dental insurance

Fulltime

Senior Taxonomist

At GEICO, we offer a rewarding career where your ambitions are met with endless ...

Location

United States , Palo Alto; New York City; Richardson; Dallas; Chevy Chase; Bethesda; Seattle

Salary:

110000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in computer science, Linguistics, Information Science, or a related field with a focus on knowledge representation
5+ years of experience in taxonomy and controlled vocabularies development, ideally within a complex, highly regulated industry such as Insurance or Financial Services
Strong proficiency in data analysis using tools like Python, SQL, etc.
Experience working with graph databases (e.g., Neo4j, Stardog, etc.)
Demonstrated experience working directly with data science, machine learning, or software engineering teams
Experience supporting AI/ML, advanced analytics, and real-time data applications
Deep knowledge of semantic standards like SKOS and tools used for taxonomy management
Excellent interpersonal and communications skills to bridge the gap between technical teams and business subject matter experts

Job Responsibility

Lead the development and maintenance of enterprise-wide taxonomies, controlled vocabulary, and metadata frameworks for human use and AI/ML and data applications
Partner with Data Scientists to structure training datasets, ensuring labels and categories are unambiguous and consistent across massive data volumes
Partner with Engineering teams to enhance internal and external search powered by taxonomy and metadata
Establish and document clear standards for data annotation and labeling, minimizing variance and noise in training data
Collaborate with subject matter experts, domain owners and enterprise ontologists to establish governance processes for taxonomy updates, versioning and sunsetting
ensure changes are communicated to data owners
Drive adoption of taxonomy best practices across teams through education, training and guidance
Collaborate closely with ontologists to define core concepts and entities (nodes) that serve as the foundation for the enterprise knowledge graphs
Ensure taxonomy aligns with the broader ontology to support complex reasoning and data integration across systems
Ensure alignment with industry standards (e.g., ACORD) to maintain data consistency across external reporting and internal systems

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

New

Assistant Restaurant Manager

Areas of responsibility include Restaurants/Bars and Room Service, if applicable...

Location

Egypt , Cairo

Salary:

Not provided

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

High school diploma or GED
4 years experience in the food and beverage, culinary, or related professional area. OR 2-year degree from an accredited university in Food Service Management, Hotel and Restaurant Management, Hospitality, Business Administration, or related major
2 years experience in the food and beverage, culinary, or related professional area.

Job Responsibility

Assists in the daily supervision restaurant operations and assists with menu planning
Maintains sanitation standards and assists servers and hosts on the floor during peak meal periods
Strives to continually improve guest and employee satisfaction
Determines training needed to accomplish goals, then implements plan
Handles employee questions and concerns
Monitors employees to ensure performance expectations are met
Provides feedback to employees based on observation of service behaviors
Assists in supervising daily shift operations
Supervises restaurant and all related areas in the absence of the Director of Restaurants or Restaurant Manager
Participates in department meetings by communicating a clear and consistent message regarding the departmental goals to produce desired results

Fulltime

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Senior Ontology & Knowledge Graph Engineer

Job Responsibility

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