Senior Machine Learning Engineer
Full time
Remote
Compensation is not specified
Role
Machine Learning Engineer
Description
About Openmesh and Xnode
Today, a small number of corporations control the majority of the world's data and IT infrastructure, which has led to issues such as social inequality, scandals, and corruption. Openmesh is an innovative open-source cloud infrastructure and global open data network that aims to address these problems by storing important global data without relying on intermediaries. It is the largest open web3 data lake and plans to extend its coverage to public health and scientific research data in the near future.
Openmesh allows anyone to create their own decentralized data cloud, securely share data, reduce deployment costs, and automate the setup process. It is designed to collect, store, process, stream, and provide data connectivity for users worldwide, without requiring registration, licensing, or payments. Openmesh acts as a public data fabric that grants universal access and prevents interferences from regulators, governments, corporations, and its own creators.
Core Products
Xnode is Openmesh's flagship product that enables developers to quickly construct decentralized data clouds. It offers data connectivity, data APIs, and query & analytics engines in minutes rather than months. Xnode requires users to only pay for computing and storage, eliminating licensing and setup fees. It significantly reduces operating costs and saves deployment time.
Pythia is a powerful analytics and query engine that transforms raw data into actionable insights. With Pythia, individuals can design, build, visualize, and deploy robust data products.
Unified APIs provide a simple endpoint for accessing all crypto and web3 data without any costs or registration process.
Our Vision
Openmesh envisions democratizing data and tackling information asymmetry on a large scale. Access to reliable and unedited information is considered a fundamental right and essential for a free and democratic society. Openmesh is built on core principles that prioritize data integrity and distribution, keeping it free from control by any central authority. The infrastructure and technology stack are openly developed and governed by the collaborative open-source community.
About the Role
Join us as a Senior Machine Learning Engineer and contribute to the development of AI models specifically tailored for blockchain analytics within the Xnode framework. Your expertise will advance the capabilities of decentralized applications and drive innovation in this space.
Your Impact
- Develop and implement advanced AI models for blockchain analytics within the Xnode ecosystem.
- Lead cross-functional collaboration to seamlessly integrate machine learning solutions.
- Stay updated on AI and blockchain advancements, contributing to Xnode's leadership in the field.
- Contribute to the development of state-of-the-art AI models to enhance blockchain analytics capabilities.
- Lead the integration of machine learning solutions, establishing Xnode as an AI pioneer for blockchain applications.
- Share industry insights and advancements, contributing to the organization's thought leadership.
Key Responsibilities & Qualifications
- Master's or Ph.D. in Machine Learning, Computer Science, or a relevant field.
- Extensive experience in developing and deploying machine learning models.
- Proficiency in programming languages like Python or TensorFlow.
- Demonstrated leadership skills, with a track record of guiding high-performing teams in delivering complex projects.
- Excellent communication skills, capable of effectively explaining technical concepts to diverse audiences.
- Strategic thinker with a knack for identifying industry trends and incorporating them into product development.
Why Join Us
- Lead a revolutionary product that is reshaping the data management and accessibility landscape.
- Collaborate with a global community of innovators and thought leaders in the decentralized space.
- Make a significant impact on global data access and utilization, promoting transparency, efficiency, and democratization.
- Thrive in a dynamic, challenging, and rewarding work environment, supported by competitive compensation and benefits.
How to Apply: Interested candidates should submit their resume and a cover letter outlining their passion for decentralized technologies and their vision for the future of Xnode.
Skills Required
Openmesh Network
Website
www.openmesh.networkCompany size
Not specified
Location
United States
Description
Not specified
VaultChain
Assistant in Financial Technology and Trading Strategies (with Training)
Berlin, Germany
Berlin, Germany
Part time
Remote
Description
We are offering an opportunity to join our team and learn about cross-market trading strategies, focusing on identifying price differences of assets across multiple platforms. This role provides hands-on experience in financial technology, data analysis, and trading support.
As part of this position, you will:
Gain practical knowledge of market analysis and trading workflows
Learn how to recognize and evaluate opportunities across different platforms
Develop your skills in risk management and decision-making
Work with a mentor who will guide you step by step through the learning process
What we provide:
Comprehensive training program designed for beginners
Ongoing mentorship and professional support
Flexible schedule (approx. 1 hour a day required for study and practice)
Remote work setup with the possibility to grow into a larger role over time
This is a part-time, entry-level opportunity suitable for candidates with little or no prior experience. What matters most is your willingness to learn and apply new knowledge in practice.
Compensation: Competitive monthly pay structure with opportunities for progression as skills develop
We are offering an opportunity to join our team and learn about cross-market trading strategies, focusing on identifying price differences of assets across multiple platforms. This role provides hands-on experience in financial technology, data analysis, and trading support.
As part of this position, you will:
Gain practical knowledge of market analysis and trading workflows
Learn how to recognize and evaluate opportunities across different platforms
Develop your skills in risk management and decision-making
Work with a mentor who will guide you step by step through the learning process
What we provide:
Comprehensive training program designed for beginners
Ongoing mentorship and professional support
Flexible schedule (approx. 1 hour a day required for study and practice)
Remote work setup with the possibility to grow into a larger role over time
This is a part-time, entry-level opportunity suitable for candidates with little or no prior experience. What matters most is your willingness to learn and apply new knowledge in practice.
Compensation: Competitive monthly pay structure with opportunities for progression as skills develop
ghed santos
Founding Head of Engineering
San Francisco, USA
San Francisco, USA
Full time
Remote
About The Project:The project is a venture-backed stealth mode project having raised $2 million and building a Social Intelligence Engine designed to power smarter, faster crypto trading. We're combining advanced data infrastructure and real-time intelligence to unlock new trading possibilities. About the Role:We're looking for a tech-savvy, investor-facing leader with an engineering background to represent us on the frontlines. This is not a research role it's about amplifying our voice, building relationships, and being the bridge between our technology and the world. Key Responsibilities:1）Represent us externally at hackathons, pitch events, conferences, and investor meetings.2）Be our lead evangelist clearly explaining our tech vision to both technical and non-technical audiences.3）Drive fundraising efforts with compelling presentations, clear strategy narratives, and investor Q&A.4）Partner closely with engineering/product to demo the platform, shape the roadmap, and turn market feedback into action. Requirements:1）Strong engineering background (AI, blockchain, data infrastructure, or similar).2）Proven experience in investor-facing roles, including fundraising and pitching.3）Excellent presentation and communication skills, with a track record of representing projects publicly.4）Experience participating in or leading hackathons, demos, and tech events.5）Understanding of consumer behavior data in gaming and apps is a plus.6）Familiarity with Web3, crypto, and developer communities. Compensation:Competitive salary + equity + team token + and performance-based incentives.
Payment in Crypto
Сrypto.com
(Senior) Security Engineer, Security Engineering & Threat Intelligence
Hong Kong
Hong Kong
Full time
Hybrid
We seek an individual with intermediate-level security engineering expertise to join the Global Cybersecurity Services Team. The role involves enhancing our security technology stack, developing AI-driven security automation workflows, and contributing to security operations and threat management.
We are establishing a cutting-edge, intelligence-based security operations capability that heavily incorporates AI and automation, necessitating engineering and operational skills across all levels.
Responsibilities:
Manage Automation & DevOps: Oversee CI/CD development and management to optimize delivery efficiency and quality. Develop and maintain Infrastructure as Code (IaC) templates using tools like Ansible, Terraform, or CloudFormation.
Automate Workflow Orchestration: Create automated solutions using scripting languages like Python or PowerShell. Utilize automation to improve system efficiency and streamline operational processes.
Implement DevOps Best Practices: Integrate DevOps principles into development lifecycles to enhance collaboration, monitoring, and agile delivery. Explore new tools and technologies to enhance the automation and DevOps toolkit.
Security Engineering: Enhance the security operations technology stack, automate workflows, and incorporate AI solutions. Implement security logging and detection engineering practices following DevOps principles. Embrace Agentic AI systems.
Develop Detection & Response Infrastructure: Maintain and enhance detection & response engineering infrastructure, telemetry, and log pipelines. Support alert pipeline development and detection use cases.
Manage Threat Intelligence: Assist with backend and infrastructure tasks associated with Threat Intelligence projects. Collaborate on Threat Analysis and incident support.
Lead Security Projects: Drive projects related to Endpoint Security enhancements, Threat Hunting, Attack Simulation, and more.
Provide Leadership: Display cross-functional leadership, manage stakeholders effectively, and contribute to team growth and capabilities.
Requirements:
5-7 years of Information Security experience, with expertise in Security Engineering, Security Operations, Cyber Threat Intelligence, or Cloud Security.
Familiarity with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
Proficiency in IaC tools such as Terraform, Ansible, or CloudFormation.
Strong scripting skills in Python, Bash, or PowerShell.
Experience with SIEM, EPP/EDR/XDR, SOAR, Threat Intelligence Platforms, and Cloud environments.
Practical application of operational, tactical, and strategic threat intelligence.
Proficiency in applying AI/ML in cybersecurity.
Self-motivated, detail-oriented, outcome-driven, and a collaborative team player.
Proficient in verbal and written English.
We are establishing a cutting-edge, intelligence-based security operations capability that heavily incorporates AI and automation, necessitating engineering and operational skills across all levels.
Responsibilities:
Manage Automation & DevOps: Oversee CI/CD development and management to optimize delivery efficiency and quality. Develop and maintain Infrastructure as Code (IaC) templates using tools like Ansible, Terraform, or CloudFormation.
Automate Workflow Orchestration: Create automated solutions using scripting languages like Python or PowerShell. Utilize automation to improve system efficiency and streamline operational processes.
Implement DevOps Best Practices: Integrate DevOps principles into development lifecycles to enhance collaboration, monitoring, and agile delivery. Explore new tools and technologies to enhance the automation and DevOps toolkit.
Security Engineering: Enhance the security operations technology stack, automate workflows, and incorporate AI solutions. Implement security logging and detection engineering practices following DevOps principles. Embrace Agentic AI systems.
Develop Detection & Response Infrastructure: Maintain and enhance detection & response engineering infrastructure, telemetry, and log pipelines. Support alert pipeline development and detection use cases.
Manage Threat Intelligence: Assist with backend and infrastructure tasks associated with Threat Intelligence projects. Collaborate on Threat Analysis and incident support.
Lead Security Projects: Drive projects related to Endpoint Security enhancements, Threat Hunting, Attack Simulation, and more.
Provide Leadership: Display cross-functional leadership, manage stakeholders effectively, and contribute to team growth and capabilities.
Requirements:
5-7 years of Information Security experience, with expertise in Security Engineering, Security Operations, Cyber Threat Intelligence, or Cloud Security.
Familiarity with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
Proficiency in IaC tools such as Terraform, Ansible, or CloudFormation.
Strong scripting skills in Python, Bash, or PowerShell.
Experience with SIEM, EPP/EDR/XDR, SOAR, Threat Intelligence Platforms, and Cloud environments.
Practical application of operational, tactical, and strategic threat intelligence.
Proficiency in applying AI/ML in cybersecurity.
Self-motivated, detail-oriented, outcome-driven, and a collaborative team player.
Proficient in verbal and written English.
Сrypto.com
(Senior) Security Engineer, Security Engineering & Threat Intelligence
Singapore
Singapore
Full time
Hybrid
We are seeking a qualified individual to join our Global Cybersecurity Services Team as an intermediate level security engineer. The primary focus of this role will involve upgrading our security technology stack, creating AI-driven security automation workflows, and contributing to security operations and threat management within our advanced cybersecurity operating model.
We are in the process of establishing a cutting-edge, multi-cloud, intelligence-driven security operations capability that will heavily incorporate AI and automation. This endeavor will demand a range of engineering and operational proficiencies at various levels.
Responsibilities
Automation & DevOps:
Develop and manage CI/CD pipelines to optimize software delivery workflows with an emphasis on speed, security, and quality.
Create and maintain Infrastructure as Code (IaC) templates using tools such as Ansible, Terraform, or CloudFormation for streamlined infrastructure provisioning across cloud and on-premise environments.
Design and implement automated solutions and workflows using scripting languages or automation platforms to enhance system efficiency.
Security Engineering:
Enhance and manage the security operations technology stack, prioritize cloud native solutions, and integrate DevOps best practices.
Implement security logging and detection engineering practices, automating processes and utilizing AI to enhance efficiencies.
Direct projects such as Endpoint Security enhancements and Threat Hunting initiatives while incorporating AI into operational workflows.
Detection & Response:
Manage the infrastructure related to detection and response engineering, including telemetry pipelines, automation, and AI-driven solutions.
Support alert pipelines and develop detection use cases to enhance threat detection capabilities.
Threat Intelligence Management:
Assist with backend and infrastructure tasks entailing Threat Intelligence Projects, Threat Analysis, and making Threat Intelligence actionable.
Collaborate on Threat Intelligence Action items and provide support during incidents.
Security Projects:
Oversee projects related to Attack Simulation, Use Case Validation, Network/Endpoint security reviews, and other security-related initiatives.
Leadership:
Possess cross-functional leadership skills and manage stakeholders effectively.
Mentor and contribute to the professional growth of the team.
Requirements
5-7 years of Information Security experience, particularly in Security Engineering, Operations, Cyber Threat Intelligence, or Cloud Security.
Proficient in CI/CD tools, IaC tools like Terraform, Ansible, and scripting languages like Python, Bash, or PowerShell.
Experience with security tools and platforms including SIEM, EPP/EDR/XDR, SOAR, and Threat Intelligence platforms.
Strong familiarity with Cloud environments such as AWS, Azure, and GCP.
Practical experience in applying AI/ML in cybersecurity contexts.
Self-motivated, detail-oriented, and results-driven.
Collaborative team player with strong communication skills in English.
We are in the process of establishing a cutting-edge, multi-cloud, intelligence-driven security operations capability that will heavily incorporate AI and automation. This endeavor will demand a range of engineering and operational proficiencies at various levels.
Responsibilities
Automation & DevOps:
Develop and manage CI/CD pipelines to optimize software delivery workflows with an emphasis on speed, security, and quality.
Create and maintain Infrastructure as Code (IaC) templates using tools such as Ansible, Terraform, or CloudFormation for streamlined infrastructure provisioning across cloud and on-premise environments.
Design and implement automated solutions and workflows using scripting languages or automation platforms to enhance system efficiency.
Security Engineering:
Enhance and manage the security operations technology stack, prioritize cloud native solutions, and integrate DevOps best practices.
Implement security logging and detection engineering practices, automating processes and utilizing AI to enhance efficiencies.
Direct projects such as Endpoint Security enhancements and Threat Hunting initiatives while incorporating AI into operational workflows.
Detection & Response:
Manage the infrastructure related to detection and response engineering, including telemetry pipelines, automation, and AI-driven solutions.
Support alert pipelines and develop detection use cases to enhance threat detection capabilities.
Threat Intelligence Management:
Assist with backend and infrastructure tasks entailing Threat Intelligence Projects, Threat Analysis, and making Threat Intelligence actionable.
Collaborate on Threat Intelligence Action items and provide support during incidents.
Security Projects:
Oversee projects related to Attack Simulation, Use Case Validation, Network/Endpoint security reviews, and other security-related initiatives.
Leadership:
Possess cross-functional leadership skills and manage stakeholders effectively.
Mentor and contribute to the professional growth of the team.
Requirements
5-7 years of Information Security experience, particularly in Security Engineering, Operations, Cyber Threat Intelligence, or Cloud Security.
Proficient in CI/CD tools, IaC tools like Terraform, Ansible, and scripting languages like Python, Bash, or PowerShell.
Experience with security tools and platforms including SIEM, EPP/EDR/XDR, SOAR, and Threat Intelligence platforms.
Strong familiarity with Cloud environments such as AWS, Azure, and GCP.
Practical experience in applying AI/ML in cybersecurity contexts.
Self-motivated, detail-oriented, and results-driven.
Collaborative team player with strong communication skills in English.
Сrypto.com
(Senior) Security Engineer, Security Engineering & Threat Intelligence
Sofia, Bulgaria
Sofia, Bulgaria
Full time
Hybrid
We are in search of an intermediate-level security engineer to join our Global Cybersecurity Services Team. This role will contribute to enhancing our security technology stack, developing AI-driven security automation workflows, and supporting security operations and threat management within our modern cybersecurity operating model.
We are currently establishing a cutting-edge, multi-cloud, intelligence-driven security operations capability that will heavily leverage AI and automation. The successful candidate will need to demonstrate engineering and operational proficiency across all levels.
Responsibilities:
Enhance build, manage, and optimize Continuous Integration and Continuous Deployment (CI/CD) pipelines to improve development workflows, ensuring secure and rapid code delivery.
Develop, enhance, and maintain Infrastructure as Code (IaC) templates or playbooks using tools such as Ansible, Terraform, CloudFormation, or equivalent.
Design and implement automated solutions and workflows using scripting languages (e.g., Python, Bash, PowerShell) or automation platforms to streamline operational processes.
Integrate DevOps principles into development lifecycles, monitor performance, and promote agile delivery.
Build, maintain, and improve our security operations technology stack, incorporating cloud native solutions, security logging, detection engineering practices, and automation while integrating DevOps principles.
Implement infrastructure to support detection & response lifecycle, telemetry and log pipelines, utilizing automation and AI.
Aid in backend and infrastructure tasks related to Threat Intelligence Projects, Threat Analysis, and Incident Support.
Lead security projects focusing on enhancing Endpoint Security, Attack Simulation, Threat Hunting, and more.
Provide cross-functional leadership, stakeholder management, mentorship, and contribute to team growth.
Requirements:
5-7 years of experience in Information Security with technical hands-on experience in Security Engineering, Security Operations, Cyber Threat Intelligence, or Cloud Security.
Proficiency in CI/CD tools like Jenkins, GitLab CI/CD, and GitHub Actions.
Familiarity with IaC tools such as Terraform, Ansible, or CloudFormation.
Strong scripting skills in Python, Bash, PowerShell, or automation/orchestration platforms.
Experience with SIEM, EPP/EDR/XDR, SOAR, Threat Intelligence Platforms, and related Open Source Threat Intelligence solutions.
Practical experience in Cloud environments like AWS, Azure, and GCP, including AI/ML application in cybersecurity use cases.
Self-motivated, detail-oriented, collaborative team player with proficiency in verbal and written English.
We are currently establishing a cutting-edge, multi-cloud, intelligence-driven security operations capability that will heavily leverage AI and automation. The successful candidate will need to demonstrate engineering and operational proficiency across all levels.
Responsibilities:
Enhance build, manage, and optimize Continuous Integration and Continuous Deployment (CI/CD) pipelines to improve development workflows, ensuring secure and rapid code delivery.
Develop, enhance, and maintain Infrastructure as Code (IaC) templates or playbooks using tools such as Ansible, Terraform, CloudFormation, or equivalent.
Design and implement automated solutions and workflows using scripting languages (e.g., Python, Bash, PowerShell) or automation platforms to streamline operational processes.
Integrate DevOps principles into development lifecycles, monitor performance, and promote agile delivery.
Build, maintain, and improve our security operations technology stack, incorporating cloud native solutions, security logging, detection engineering practices, and automation while integrating DevOps principles.
Implement infrastructure to support detection & response lifecycle, telemetry and log pipelines, utilizing automation and AI.
Aid in backend and infrastructure tasks related to Threat Intelligence Projects, Threat Analysis, and Incident Support.
Lead security projects focusing on enhancing Endpoint Security, Attack Simulation, Threat Hunting, and more.
Provide cross-functional leadership, stakeholder management, mentorship, and contribute to team growth.
Requirements:
5-7 years of experience in Information Security with technical hands-on experience in Security Engineering, Security Operations, Cyber Threat Intelligence, or Cloud Security.
Proficiency in CI/CD tools like Jenkins, GitLab CI/CD, and GitHub Actions.
Familiarity with IaC tools such as Terraform, Ansible, or CloudFormation.
Strong scripting skills in Python, Bash, PowerShell, or automation/orchestration platforms.
Experience with SIEM, EPP/EDR/XDR, SOAR, Threat Intelligence Platforms, and related Open Source Threat Intelligence solutions.
Practical experience in Cloud environments like AWS, Azure, and GCP, including AI/ML application in cybersecurity use cases.
Self-motivated, detail-oriented, collaborative team player with proficiency in verbal and written English.