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Amass Technology

Amass Technology

www.amass-technology.com

1 Job

5 Employees

About the Company

Amass Technology is a Software, Cloud and Data focused Recruitment business helping clients across Europe to scale their tech teams.

In a world of Technology, Amass brings people together. We understand that the best technology in the world cannot be implemented without the best people in the world. This is why we put our client's culture and our candidate's values at the centre of what we do.

WHAT SETS US APART

TECHNOLOGY
Cutting-edge CRM system with over 50,000 experts in Software, Cloud and Data based in Europe
Large investment in industry-specific technologies
Video interviews with candidates before being presented to clients
Access to unique pools of candidates

SPEED
Available candidates are found and presented within 24-48 hours of receiving a request
All emails are responded to within 30 minutes
Market leading hiring process
All candidates are paid on time every month

NICHE EXPERTISE
We do not claim to be experts at everything - our core focus is Software, Cloud and Data, and we are experts in these markets
Extensive network in DACH, BENELUX, DANUBIA and the UK
10+ Years of average Tech recruitment experience across each Amass Consultant
Access to local language speakers

PARTNERSHIPS
Your success is our success, we work in mutually beneficial partnerships with our clients
Time and effort spent on understanding your needs and culture
Free market advice and information
Regular face-to-face meetings

TRANSPARENCY
Truthful and honest feedback to clients and candidates
Open communication throughout the hiring process and beyond
No hidden costs - everything is very transparent from get-go
Friendly consultative approach

PEOPLE CENTERED
No tech can be implemented without people. We do cultural and communication tests before deep diving into tech skills
Video calls with candidates and clients along with face to face meetings
Limited use of AI to keep a personal touch
Open door policy, always contactable at any time of day

Listed Jobs

Company background Company brand
Company Name
Amass Technology
Job Title
Graph Engineer/Data Ontology Specialist
Job Description
Job Title: Graph Engineer/Data Ontology Specialist Role Summary: Develop and optimize graph databases and ontologies for knowledge representation, integrate large language models (LLMs) for semantic analysis, and implement AI/ML pipelines to enhance data quality and insights. Apply graph algorithms, NLP, and ML techniques to manage complex datasets and deploy scalable solutions. Expactations: - Demonstrated expertise in graph engineering, ontology design, and semantic technologies. - Strong hands-on experience with LLM integration, fine-tuning, and deployment. - Ability to design end-to-end ML pipelines for production environments. Key Responsibilities: - Design, optimize, and query graph databases (e.g., Amazon Neptune). - Build ontologies and knowledge representation frameworks. - Integrate LLMs (Claude 3.7+, GPT) for semantic enrichment and entity extraction. - Implement RAG pipelines and LLM-driven fact extraction (SVO triples). - Develop QA pipelines for relationship validation and data consistency. - Apply graph algorithms, GNNs, and reasoning in Neptune/knowledge graph environments. - Build vector-based similarity search using embeddings and similarity algorithms. - Apply NLP techniques (NER, POS tagging, syntactic parsing) alongside LLMs. - Deploy ML models with AWS AI/ML services (SageMaker) for scalable production. - Construct ETL pipelines for large, complex datasets. - Manage structured data using RDF, SPARQL, and semantic web standards. Required Skills: - Graph database engineering (Amazon Neptune, knowledge graphs). - Ontology engineering and semantic data modeling. - LLM integration, fine-tuning, and RAG implementation. - Advanced NLP and information retrieval. - Graph AI techniques (algorithms, graph neural networks). - MLOps (pipeline automation, model evaluation). - AWS ML services (SageMaker, AI/ML infrastructure). - ETL pipeline development and semantic web standards (RDF, SPARQL). Required Education & Certifications: Not specified.
United kingdom
On site
01-10-2025