1 to 25 of 123 Permanent Neo4j Jobs

e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization More ❯

to AI/ML workflows. • Database Management (SQL & NoSQL): Practical understanding of SQL and NoSQL database technologies, including relational (e.g., PostgreSQL, MySQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra, Neo4j). Experience with projects involving data modeling, query optimization, and database administration. Familiarity with graph databases (e.g., Neo4j) and search/analytics platforms like the ELK stack is More ❯

dynamics, following business strategy frameworks (SWOT, Porter's Five Forces, BCG Matrix, etc.) Create relationship taxonomies that capture complex strategic dependencies into formal knowledge structures Implement ontology schemas in Neo4j or similar graph database systems. Create graph algorithms and queries to identify strategic patterns and insights from data Build data pipelines to extract, transform, and load strategic data from … Computer Science, Data Science, Information Science, or related field 4-5 years of hands-on experience in Machine Learning, Data Science or Software Development Experience with graph database technologies (Neo4j preferred) Strong programming skills in Python Demonstrated interest in knowledge representation, ontologies, or semantic technologies Familiarity with large language models and prompt engineering Ability to translate conceptual frameworks into … or ontology projects Background in semantic web technologies or linked data principles Technical Skills Programming Languages : Proficiency with Python is mandatory. Knowledge of JavaScript is also beneficial. Graph Technologies : Neo4j, Cypher, GraphQL Data Engineering : ETL pipelines, data integration patterns Machine Learning : NLP, embedding models, text classification LLM Integration : Prompt engineering, context management Visualization : Graph visualization tools and techniques Containerization More ❯

to AI/ML workflows. • Database Management (SQL & NoSQL): Practical understanding of SQL and NoSQL database technologies, including relational (e.g., PostgreSQL, MySQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra, Neo4j). Experience with projects involving data modeling, query optimization, and database administration. Familiarity with graph databases (e.g., Neo4j) and search/analytics platforms like the ELK stack is More ❯

/Computer/Electrical Engineering, or a related field. 3+ years of experience in software development, data architecture, or related field. Proficiency in schema design for databases such as: Neo4j, MongoDB, ArangoDB, or Postgres. Proficiency in writing queries from scratch in languages such as: SQL, NoSQL, JSONiq, GraphQL, or Cypher. ). Proficiency in programming languages like Python, Java, or More ❯

Commercial Cloud Platforms (ex, AWS, Google Cloud, Azure) Experience with development leveraging cloud data services (ex: S3, RDS, EFS) Experience leading development scrum teams Preferred Qualifications: Demonstrated experience using Neo4J Hoplite Solutions offers very competitive salaries and an excellent benefits package, to include a 7% employer 401k contribution, fully paid healthcare for our employees, outstanding training benefits, company funded More ❯

teams. Candidate must have a Masters with 15+ years of prior relevant experience. Candidate must have an active TS/SCI with a polygraph. Preferred Qualifications: Demonstrated experience using Neo4J Hoplite Solutions offers very competitive salaries and an excellent benefits package, to include a 7% employer 401k contribution, fully paid healthcare for our employees, outstanding training benefits, company funded More ❯

learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices throughout Northern VA (we cannot support More ❯

learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices throughout Northern VA (we cannot support More ❯

git via GitHub, GitLab, or BitBucket. Experience with drafting and maintenance of technical documentation Experience with RDBMS (ex: Oracle, Postgres, MySQL) and non-SQL DBs (ex: HBase, Accumulo, MongoDB, Neo4J) methodologies Familiarity with Cloud technologies such as Azure, AWS, or GCP. Experience working in a classified environment on operational networks such as SIPR or JWICS Desired: Experience with Intelligence More ❯

Factory). Experience with DevOps principles (CI/CD, Git, automated testing). Familiarity with data governance tools (e.g., Data Lineage, Data Quality). Experience with tools like Redis , Neo4j , or Apache Arrow . Power BI experience for data visualisation is a plus. What You Bring: Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to More ❯

learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices throughout Northern VA (we cannot support More ❯

learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices throughout Northern VA (we cannot support More ❯

Google Cloud, or Microsoft Azure. • Experience applying various machine learning approaches (e.g., random forest, neural networks, support vector machines). • Experience working with databases (e.g., PostgreSQL, Oracle, MySQL, MongoDB, Neo4J). • Experience using version control (e.g., Git, Mercurial, SVN) to support collaborative development. • Experience utilizing notebooks (e.g., Jupyter, R Markdown, Zeppelin). • Experience developing interactive data visualizations using open More ❯

About Neo4j: Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along … with a vibrant community of 250,000+ developers, data scientists, and architects across the globe. At Neo4j, we're proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by … and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart. Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it's accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j's cloud offering More ❯

plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management More ❯

for the medical industry. Responsibilities Develop and implement AI-driven applications Design and optimise dynamic prompt assembly and chaining for improved AI performance Work with RAG tools such as Neo4j and Protégé to enable intelligent information retrieval and contextual AI reasoning Build and maintain knowledge graphs to structure and enrich AI models Design, implement, and manage ETL pipelines to … with cloud computing platforms such as AWS, Azure, or GCP for AI model deployment and scaling Strong understanding of database management systems, including SQL, NoSQL, and graph databases (e.g. Neo4j, ArangoDB, or RDF stores) Excellent problem-solving skills with a strong mathematical and algorithmic foundation Ability to work effectively in an agile, multidisciplinary environment Proficiency in English is required More ❯

Federal Consulting Engineer (Active TS/SCI and FSP Required) Washington, D.C. About Neo4j: Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden relationships and patterns across billions of data connections deeply, easily and quickly. Customers use Neo4j to gain a deeper understanding and reveal new ways of solving their most pressing problems. Over … of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe. At Neo4j, we're proud to be building the technology that powers breakthrough solutions for our customers, helping them cure diseases, fight fraud, crush pandemics, and accomplish their most ambitious missions-even if it's getting … humans to Mars. Learn more at and follow Role Overview: Working with our customer's engineering teams, you'll lead and contribute to all phases of the Neo4j implementation within their projects. Act as the Technical Subject Matter expert for short to long-term consulting engagements where you'll write code, provide expert advice and guidance, train and educate More ❯

Amazon Web Services Application servers: Node.js, Oracle Weblogic, Oracle Glassfish, JBoss and Apache Tomcat Data environments: Oracle, Sybase, PostGreSQL, MySQL, MongoDB, Splunk, and Elasticsearch/Logstash/Kibana (ELK), Neo4j Operating system environments: Windows, Linux, and MacOS Software requirements management: Atlassian Suite, EPICS, Story Board Data Science: Statistical Analysis, Data Visualization, Graph Analysis, Data Engineering This position is contingent More ❯

We seek a skilled Android Developer to enhance our web presence and platform functionality. ABOUT INNOVECS: Innovecs is a global digital transformation tech company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in More ❯

GovCloud ) and technologies (e.g., Kubernetes, Rancher, Helm ) - Scalable web application development (e.g., Angular, Node, JavaScript, TypeScript, Django, RESTful APIs ) - Databases and query Languages (e.g., Elasticsearch, Oracle, MySQL, NoSQL, MongoDB, Neo4j ) - DevSecOps, microservice oriented architectures, containerization, and CI/CD tools and processes (e.g., GitLab, Docker, Jenkins ) - Embedded and real-time system programming. Functional programming a plus (Haskell, Scala, OCaml More ❯

GovCloud ) and technologies (e.g., Kubernetes, Rancher, Helm ) - Scalable web application development (e.g., Angular, Node, JavaScript, TypeScript, Django, RESTful APIs ) - Databases and query Languages (e.g., Elasticsearch, Oracle, MySQL, NoSQL, MongoDB, Neo4j ) - DevSecOps, microservice oriented architectures, containerization, and CI/CD tools and processes (e.g., GitLab, Docker, Jenkins ) - Embedded and real-time system programming. Functional programming a plus (Haskell, Scala, OCaml More ❯

GovCloud ) and technologies (e.g., Kubernetes, Rancher, Helm ) - Scalable web application development (e.g., Angular, Node, JavaScript, TypeScript, Django, RESTful APIs ) - Databases and query Languages (e.g., Elasticsearch, Oracle, MySQL, NoSQL, MongoDB, Neo4j ) - DevSecOps, microservice oriented architectures, containerization, and CI/CD tools and processes (e.g., GitLab, Docker, Jenkins ) - Embedded and real-time system programming. Functional programming a plus (Haskell, Scala, OCaml More ❯

Kubernetes deployment) in multiple environments (AWS, AZURE, GCP). Operationalization of ML solutions to production. •Experience in Microservices development, API backend development using FastAPI •Relational DB (SQL), Graph DB (Neo4j) and Vector DB (Pinecone, Weviate, Qdrant) •Guide team to debug issues with pipeline failures •Engage with Business/Stakeholders with status update on progress of development and issue fix … backend development using FastAPI •MLOps (model/component dockerization, Kubernetes deployment) in multiple environments (AWS, AZURE, GCP). Operationalization of AI solutions to production. •Relational DB (SQL), Graph DB (Neo4j) and Vector DB (Pinecone, Weviate, Qdrant) •Experience designing and implementing ML Systems & pipelines, MLOps practices •Exposure to event driven orchestration, Online Model deployment •Hands on experience in working with More ❯

backend development using FastAPI •MLOps (model/component dockerization, Kubernetes deployment) in multiple environments (AWS, AZURE, GCP). Operationalization of AI solutions to production. •Relational DB (SQL), Graph DB (Neo4j) and Vector DB (Pinecone, Weviate, Qdrant) •Guide team to debug issues with pipeline failures •Engage with Business/Stakeholders with status update on progress of development and issue fix … backend development using FastAPI •MLOps (model/component dockerization, Kubernetes deployment) in multiple environments (AWS, AZURE, GCP). Operationalization of AI solutions to production. •Relational DB (SQL), Graph DB (Neo4j) and Vector DB (Pinecone, Weviate, Qdrant) •Experience designing and implementing ML Systems & pipelines, MLOps practices •Exposure to event driven orchestration, Online Model deployment •Hands on experience in working with More ❯