Ontology Expert Job at NTT DATA (Dallas)

Ontology Expert

The Ontology Expert role at NTT DATA involves designing and governing healthcare...

Location

Canada , Toronto

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Health Informatics, Data Science, Semantic Web, or related field
4–8+ years of experience in ontology development or semantic modeling, preferably in healthcare
Strong understanding of US healthcare data and terminology
Hands-on experience with ontology languages, standards, and modeling techniques
Proficiency in Python for ontology processing, validation, or AI integration
Experience working with cross-functional AI and clinical teams

Job Responsibility

Design, build, and maintain healthcare ontologies, taxonomies, and semantic models
Define domain vocabularies, concepts, and relationships for AI-driven and agentic solutions
Support knowledge representation for AI agents, clinical decision-support, and intelligence systems
Collaborate with clinicians, data scientists, and AI engineers to translate domain knowledge into formal semantic models
Govern ontology lifecycle, versioning, documentation, and semantic consistency
Develop ontologies using OWL, RDF, and SKOS standards
Apply healthcare terminologies including SNOMED CT, ICD-10, LOINC, and RxNorm
Enable semantic interoperability across EHRs and healthcare data sources
Support reasoning, inference, and rule-based logic for AI systems
Enable AI and GenAI systems with structured healthcare knowledge

What we offer

Remote work flexibility

Fulltime

New

Data Scientist II

Are you excited by the opportunity to use machine learning, NLP, and generative ...

Location

United Kingdom , London

Salary:

Not provided

myGwork - LGBTQ+ Business Community

Expiration Date

Until further notice

Requirements

Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area
Experience working with frontier LLMs such as OpenAI's GPTs, Anthropic's Claude, and Google's Gemini, including fine-tuning LLMs and/or SLMs
Strong Python skills and a habit of writing clean, maintainable, well-tested code
A solid grasp of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, model evaluation, model selection, and performance measurement
Experience working with structured, semi-structured, or unstructured data, especially large-scale text or content datasets
Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib
The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem-solving skills, and attention to quality
Clear communication skills, a collaborative approach to working with engineering, product, and business stakeholders, and a genuine interest in building production-ready systems that deliver real user value

Job Responsibility

Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding
Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline
Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI
Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation
Build, evaluate, fine-tune, prompt, and integrate models into robust production systems, while continuously improving quality, relevance, reliability, and user value
Write clean, tested, production-quality Python and contribute reusable data science components, packages, and scalable data pipelines for preprocessing, inference, experimentation, monitoring, and continuous improvement
Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems
Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences

What we offer

healthy work/life balance
wellbeing initiatives
shared parental leave
study assistance
sabbaticals
flexible working hours

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

Senior Domain SME - Occupational Health, Safety & Regulatory Compliance (EHS)

We are seeking an experienced EHS Subject Matter Expert with 5+ years of experti...

Location

European Union

Salary:

Not provided

Itransition

Expiration Date

Until further notice

Requirements

5+ years in Occupational Health & Safety / EHS roles
Degree in Engineering, Environmental Science, Occupational Health, or related field (preferred)
Proven experience in incident management and risk frameworks
Deep knowledge of EU Directives, OSHA (US), and HSE (UK)
Hands-on experience in Oil & Gas, Chemicals, or Pharmaceuticals
Certifications: NEBOSH, IOSH, CSP, or ISO 45001/14001 Lead Auditor (preferred)
Strong understanding of safety management systems, audit/inspection frameworks, and compliance workflows
Ability to translate domain knowledge into product requirements
Ability to work in Agile / product engineering environments
Familiarity with EHS software platforms (e.g., Cority, Sphera) and data-driven digital platforms

Job Responsibility

Act as the authoritative SME for Occupational Health & Safety, Incident & Accident Management, and Risk Assessment & Mitigation (HIRA, JSA, BowTie, etc.), translating domain knowledge into scalable product features, workflows, and data models
Interpret and operationalize EU Directives, OSHA (US), and HSE (UK) regulations, ensuring the platform supports multi-jurisdictional compliance, audit readiness, and regulatory reporting
Collaborate with Product Managers and Engineering on specs and use cases, design incident, audit, inspection, and risk modules, shape domain ontology and canonical data models, and provide inputs into workflow design, business rules, and validation logic
Define best practices for incident classification and investigation, root cause analysis (e.g., 5-Why, TapRooT), and corrective and preventive actions (CAPA), while supporting the development of risk scoring models and leading/lagging indicators
Work with customers (EHS leaders, safety officers), implementation teams, and sales & pre-sales as a domain expert, while validating product features against real-world operational scenarios
Define acceptance criteria and test scenarios, and participate in UAT (User Acceptance Testing) and regulatory validation reviews
Bring contextual expertise across Oil & Gas, Chemicals, and Pharmaceuticals, ensuring product applicability across asset-heavy and regulated industries

What we offer

Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation

Fulltime

Senior Business Analyst/Product Owner – Occupational Health, Safety & Regulatory Compliance (EHS)

We are seeking an experienced EHS Subject Matter Expert with 5+ years of experie...

Location

European Union

Salary:

Not provided

Itransition

Expiration Date

Until further notice

Requirements

5+ years of experience in business analysis on the projects related to Occupational Health & Safety / EHS
Degree in Engineering, Environmental Science, Occupational Health, or related field (preferred)
Proven experience in incident management and risk frameworks
Deep knowledge of EU Directives, OSHA (US) or HSE (UK)
Hands-on experience in Oil & Gas, Chemicals, or Pharmaceuticals
Certifications: NEBOSH, IOSH, CSP, or ISO 45001/14001 Lead Auditor (preferred)
Strong understanding of safety management systems, audit/inspection frameworks, and compliance workflows
Ability to translate domain knowledge into product requirements
Ability to work in Agile / product engineering environments
Familiarity with EHS software platforms (e.g., Cority, Sphera) and data-driven digital platforms

Job Responsibility

Act as the authoritative SME for Occupational Health & Safety, Incident & Accident Management, and Risk Assessment & Mitigation (HIRA, JSA, BowTie, etc.), translating domain knowledge into scalable product features, workflows, and data models
Interpret and operationalize EU Directives, OSHA (US), and HSE (UK) regulations, ensuring the platform supports multi-jurisdictional compliance, audit readiness, and regulatory reporting
Collaborate with Product Managers and Engineering on specs and use cases, design incident, audit, inspection, and risk modules, shape domain ontology and canonical data models, and provide inputs into workflow design, business rules, and validation logic
Bring contextual expertise across Oil & Gas, Chemicals, and Pharmaceuticals, ensuring product applicability across asset-heavy and regulated industries
Define best practices for incident classification and investigation, root cause analysis (e.g., 5-Why, TapRooT), and corrective and preventive actions (CAPA), while supporting the development of risk scoring models and leading/lagging indicators
Work with customers (EHS leaders, safety officers), implementation teams, and sales & pre-sales as a domain expert, while validating product features against real-world operational scenarios
Define acceptance criteria and test scenarios, and participate in UAT (User Acceptance Testing) and regulatory validation reviews

What we offer

Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation

Data Engineer - Lead

Altamira Technologies is seeking an experienced Data Engineer to join our growin...

Location

United States , Centennial

Salary:

150000.00 - 225000.00 USD / Year

Altamira Technologies

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in technical field
5+ years experience in data engineering
Well versed in Extract, Transform, Load (ETL) techniques and technologies
Familiar with a variety of database types, schemas, and ontologies
Active TS/SCI clearance with ability to obtain CI polygraph
Self-motivated and eager to work intently to satisfy mission requirements
Aggressively detail-oriented
Eager and able to rapidly learn new data types and technologies
Adaptable and has the desire to maintain our company culture
Ability to effectively communicate in verbal and written communications with internal and external stakeholders of various backgrounds

Job Responsibility

Create ontologies that define the concepts, categories, and relationships relevant to ingested data
Ensure that data from different sources can be integrated seamlessly
Work with Subject Matter Experts to reach consensus on how the ontology’s structure is designed
Serve as the data custodian, responsible for its provenance, accuracy, and location throughout project execution
Coordinate and participate in Technical Exchange Meetings with data stakeholders for both ingest and export
Identify, gather, and organize critical technical metadata
Create visual representations of available data
Create and maintain charts, graphs, and dashboards
Build statistical tools and techniques to explore and analyze data
IPT Lead - willingness to perform interviews, select candidates and provide overall team leadership

Fulltime

Principal Research Engineer

The Bristol Research & Innovation Laboratory (BRIL) of Toshiba Europe Ltd. is at...

Location

United Kingdom , Bristol

Salary:

Not provided

Toshiba EMEA

Expiration Date

June 30, 2026

Requirements

PhD in computer science specialised on data sharing, digital twins, distributed databases, AI, or a related field with more than 3 years (principal research engineer), 5 years (research fellow) of post-doctoral or industrial experience
Deep understanding of data sharing fundamentals, including availability, confidentiality and integrity principles
Strong system engineering experience related to data sharing and AI solutions as well as microservices architecture and cloud/edge hybrid deployments
A strong professional network and established presence within the EMEA industrial sector, as well as in data and computer science technical domains and relevant standardisation bodies
Proven track record of publications in major conferences and journals
Self-motivated with excellent problem-solving skills
Familiarity with data sharing standards and AI architectures, including data interoperability, system integration, and digital twin technologies
Experience in externally funded projects (including European), independent research within a team, and proven ability to build collaborations
Proficient in programming with Python, Java and SQL and testing using open-source tools
Understanding of database and data analysis technologies like Azure Data Explorer (ADX), PostgreSQL, MongoDB, and data driven machine learning tools such as Spark, Power BI

Job Responsibility

Conducting industry-applied R&D such as innovative research and advanced development in the field of cross-domain data sharing and digital twins supporting services such as energy flexibility, carbon credit and digital measurement reporting and verification (dMRV)
Networking with business and R&D divisions in Toshiba Corporation, business partners, and academia partners, etc
Proposing projects relevant to the target technology to EU or local external funding, then joining to deliver field trials as proof of concept, through engaging with academia and industry experts
Technology scouting and industry trend analysis leveraging our European presence and providing strategic feedback to Toshiba’s R&D and business operations based on these insights
Business concept validation activities in collaboration with business divisions and business development teams
Producing intellectual property and high-quality journal and conference papers
Investigating relevant standardization activities for advanced technology features
Demonstrating the ability to work with other engineers not only in EMEA but globally and showing a broad understanding of the work across the global organisation
Supporting BRIL’s deliverables under internal company contract and in external collaborative projects etc

What we offer

Opportunity to work on pioneering technologies in distributed AI and cross-domain data sharing
Engage in a dynamic and innovative work environment focused on technology development and research
Translate technological research into real products and solutions by working closely with business divisions
Contribute to high-impact research with potential for publication in esteemed journals and conferences
An attractive remuneration and benefits package

Fulltime

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