Ontology Engineer Job at Wissen (Bangalore)

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

New

Senior Systems Engineer

Altamira Technologies Corporation is seeking an experienced Systems Engineer/Int...

Location

United States , Warrenton

Salary:

150000.00 - 200000.00 USD / Year

Altamira Technologies

Expiration Date

Until further notice

Requirements

Possess a minimum of a TOP SECRET clearance
Ten (10) years of experience in the areas described in the position description, with emphasis on: Documenting system build and operational procedures
Performing system integration, and/or verification and validation tasks
Automating deployment and configuration changes for scalability and reproducibility using tools such as bash-scripts or python scripts
Familiarity with technologies/programming languages such as Java, Elastic, Docker, etc.
Demonstrated experience with software development, installation, and integration activities
Self-motivated and eager to work intently to satisfy mission requirements
Adaptable and has the desire to maintain our company culture
Ability to effectively communicate in verbal and written communications
Ability to multitask and adjust priorities as needed

Job Responsibility

Communicate (through written documents and verbal briefs) with technical and non-technical personnel
Find innovative solutions to technical architecture, dataflow, and system-performance issues in secure environments
Derive requirements from high level mission needs
Design interfaces involving disparate data formats and system protocols
Document system architectures and processes
Design ontologies and/or normalization approaches that support dynamic data transformations
Define and document O&M SOPs
Define verification criteria and test plans
Perform system integration, and/or verification and validation tasks
Configure network interfaces and OS-level firewalls

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

Rag + Agentic Ai Engineer

We are looking for a highly skilled RAG + LLM-based Agentic AI Engineer to build...

Location

India , Pune; Mumbai; Bengaluru; Indore; Jaipur

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Smart/component-aware chunking
Hybrid retrieval (BM25 + dense)
Reranking
Graph-RAG basics
Query rewriting & multi-hop retrieval
LangGraph
MCP tools
Multi-agent orchestration
Tool-calling workflows
Qdrant or Weaviate

Job Responsibility

Build end-to-end RAG pipelines: smart chunking, hybrid retrieval, reranking, query rewriting
Implement LangGraph-based agentic workflows with tools, planning, and self-healing behaviors
Develop and optimize vector search systems (Qdrant/Weaviate/OpenSearch)
Design multi-tenant, ontology-driven knowledge layers for enterprise data
Implement guardrails, hallucination reduction, and automated evals
Build and maintain document ingestion pipelines (PDF, DOCX, OCR, images)
Architect and deploy FastAPI-based AI microservices with caching and async execution
Integrate LLM systems with enterprise apps (SharePoint, CRM, databases, MCP tools)
Ensure security, PII safety, auditability, and governance requirements are met
Collaborate with solution architects and domain SMEs to translate use cases into working AI systems

What we offer

Work on cutting-edge agentic AI systems at production scale
Ownership over enterprise-grade architectures
Fast growth environment
Influence Codvo's platform and accelerators

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 Scientist 4

We are seeking a Data Scientist who is an established AI expert with demonstrabl...

Location

United States , Central Maryland

Salary:

212000.00 - 267000.00 USD / Year

RealmOne

Expiration Date

Until further notice

Requirements

Bachelor's Degree with 15 years of relevant experience
Associate's degree with 17 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence)
College-level requirement, or upper-level math courses designated as elementary or basic do not count
Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
Experience with designing and building: Customized capabilities to enable Retrieval Augmented Generation (RAG) for multiple enterprise data sets
Agentic AI systems to automate and orchestrate decision-making actions across specialized AI resources
Docker-based microservices, user facing GUIs, and Cloud-hosted services (Kubernetes architecture) hosted on AWS/Azure/Google service platforms
Deep knowledge and experience in AI solutions and an ability to assess, evaluate, and implement the correct ML models for specific purposes and optimized performance

Job Responsibility

Making and communicating principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
Using analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings
Translating practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
Effectively communicating complex technical information to non-technical audiences

What we offer

Healthcare Coverage + Insurance: Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums. Tax-advantaged health savings account available with generous employer contribution. Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
Retirement + Savings: 401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
Paid Time Off + More: 4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
Career Growth + Development: Access to FREE 24/7 learning via Udemy – Opportunities to participate in tech councils, industry initiatives, etc. – $7,500 annual Educational & Professional Development Assistance
Paid parental leave
Annual swag drops
Flexible work schedules
Generous referral bonus program
Employee appreciation + family-friendly corporate events

Fulltime

Select Country

Ontology Engineer

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?