AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Senior Data Engineer
AI listing hub for developers. Discover AI Tools, GPT Stores and AI Jobs.
Benefits:
Private healthcare plan + life insurance
Sportscard for various sports activities
Free English classes
20/26 days of paid holiday
Training budget for skill development
Experience Requirements:
5+ years of relevant experience in data science/engineering
Responsibilities:
Deploy machine learning solutions in production on AWS & GCP
Participate in product discovery to propose ML product features
Design, implement, and validate ML algorithms for visual similarity and recommendations
Develop image-to-metadata solutions using multimodal LLMs to enhance artwork catalog data
Write clean, efficient code following best practices in software development.Build prototypes, conduct experiments, and manage end-to-end ML projects.Collaborate with product, data engineering, and cross-functional teams.Research and evaluate new tools and technologies
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ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)
AI listing hub for developers. Discover AI Tools, GPT Stores and AI Jobs.
Benefits:
Gym membership
Education Requirements:
Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Experience Requirements:
2+ years of experience building and maintaining NLP/Large Language Models at scale.
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Seeking Developers and Engineers for AI T-Shirt Generator Project
AI listing hub for developers. Discover AI Tools, GPT Stores and AI Jobs.
Benefits:
No workplace politics
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Managing Technical Consultant, Wetland Biologist or Ecologist (Senior Level)
AI listing hub for developers. Discover AI Tools, GPT Stores and AI Jobs.
Benefits:
No workplace politics
Education Requirements:
BS or MS in biology, wetland science, plant ecology or similar field with experience pertaining to a specialized biological training or field. Or the equivalency of 8+ years related experience in lieu of education.
Experience Requirements:
At least 7 years of consulting experience that involves oversight, QA/QC, technical writing, advanced survey design, impact assessment and multi-media permitting.
Responsibilities:
Coordinate multi-disciplinary biological and water resource teams for state and federal regulation surveys, monitoring and documentation.
Contribute to preparing technical documents and associated management plans in compliance with state and federal requirements, serving in roles ranging from lead technical expert to QA/QC.
Achieve client’s expectations for scope, budget, schedule, and quality.
Maintain positive relationships with clients and public agencies.
Other duties may include natural resource surveys, biological monitoring (as necessary), field team management, and providing specialized site assessments.
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Cloud Software Engineer
RunPod offers GPU cloud computing for AI/ML, providing secure and community cloud options, on-demand and spot pods, and serverless GPU scaling.
Benefits:
Stock options
The flexibility of remote work with an inclusive, collaborative team.
An opportunity to grow with a company that values innovation and user-centric design.
Generous vacation policy to ensure work-life harmony and well-being.
Contribute to a company with a global impact based in the US, Canada, and Europe.
Education Requirements:
Bachelor’s degree in Computer Science, Computer Engineering or a related field, or equivalent experience.
Experience Requirements:
3+ years of professional experience in software development, with experience in Go.
Strong understanding of the Go programming language and its ecosystem.
Strong problem-solving skills and ability to work in a collaborative environment.
Excellent communication skills and attention to detail.
Successful completion of a background check
Responsibilities:
Design, develop, and maintain cloud infrastructure software, primarily in Go.
Collaborate with managers and other engineers to define and implement product requirements.
Troubleshoot and optimize existing code to improve performance and reliability.
Participate in code reviews and contribute to the team's technical standards.
Contribute to architectural discussions and decisions.
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Forward Deployed Engineer
RunPod offers GPU cloud computing for AI/ML, providing secure and community cloud options, on-demand and spot pods, and serverless GPU scaling.
Benefits:
Stock options
Commission opportunity
The flexibility of remote work with an inclusive, collaborative team.
An opportunity to grow with a company that values innovation and user-centric design.
Generous vacation policy to ensure work-life harmony and well-being.
Experience Requirements:
Proficient in deploying and managing AI/ML models as service, with a strong understanding of training, fine-tuning, inference, and deployment.
3+ years of software development experience in JavaScript, Go (Golang), or Python.
Strong problem-solving skills and ability to work in a collaborative environment.
Excellent communication skills and attention to detail.
Successful completion of a background check
Responsibilities:
Troubleshoot and resolve critical or complex technical issues escalated by customers, including those related to configuration, performance, functionality, compatibility, or code errors in RunPod’s products or services.
Utilize various tools and methods, such as code analysis, scripting for testing, log analysis and remote access, to identify root causes and deliver solutions or workarounds.
Communicate effectively with customers and internal teams, including engineering, sales, and product management teams, to ensure customer satisfaction and integrate valuable feedback.
Participate in sales meetings with customers, explain RunPod’s specific technologies, provide architectural recommendations, and build proof-of-concept solutions to support onboarding for potential high-spending customers.
Assist the support team in troubleshooting and resolving escalated technical tickets, collaborate with the engineering team to provide workarounds or bug fixes, and work with the infrastructure team to address GPU server-related issues.
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Security Engineer
RunPod offers GPU cloud computing for AI/ML, providing secure and community cloud options, on-demand and spot pods, and serverless GPU scaling.
Benefits:
Stock options
The flexibility of remote work with an inclusive, collaborative team.
An opportunity to grow with a company that values innovation and user-centric design.
Generous vacation policy to ensure work-life harmony and well-being.
Contribute to a company with a global impact based in the US, Canada, and Europe.
Education Requirements:
Bachelor's degree in Computer Science, Cybersecurity, or a related field
Experience Requirements:
5+ years of experience in information security roles, with a focus on cloud security
Strong programming skills in at least one language (ideally, Python, Go, or C)
Extensive knowledge of Linux kernel internals, containerization technologies, and virtualization
Deep understanding of workload/network isolation techniques in multitenant cloud environments
Experience securing and hardening cloud infrastructure, particularly in environments with untrusted workloads
Responsibilities:
Design and implement secure architectures for RunPod's multitenant GPU cloud platform, ensuring strong isolation between customer workloads
Conduct thorough security assessments, including threat modeling, code reviews, and penetration testing of our cloud infrastructure and services
Develop and implement security fixes and improvements in collaboration with software engineering teams
Implement and manage security tools and systems (e.g., SIEM, WAF, EDR)
Create and maintain security documentation, including policies, procedures, and technical guidelines specific to GPU cloud security
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Senior Full-Stack Engineer
RunPod offers GPU cloud computing for AI/ML, providing secure and community cloud options, on-demand and spot pods, and serverless GPU scaling.
Benefits:
Stock options
The flexibility of remote work with an inclusive, collaborative team.
An opportunity to grow with a company that values innovation and user-centric design.
Generous vacation policy to ensure work-life harmony and well-being.
Contribute to a company with a global impact based in the US, Canada, and Europe.
Experience Requirements:
10+ years of professional experience in full-stack development, with a strong emphasis on scalable PaaS platforms.
Deep expertise in Python (AI experience a plus).
Proficiency in TypeScript/JavaScript and Go Lang (strict type languages a plus).
Proficiency in developing frontend applications (React, Next.js a plus).
API Development: Proficiency in designing and maintaining high-performance APIs, microservices, and cloud integrations.
Responsibilities:
Full-Stack Development: Build and optimize applications that span from the frontend (React, Next.js, Python, SDKs, CLIs) to the cloud backend (Go Lang and Typescript).
Database Design & Architecture: Design and optimize SQL (PostgreSQL, MySQL) and NoSQL databases, ensuring data integrity, efficiency, and scalability.
PaaS Best Practices: Implement industry best practices for scalable, secure, and reliable PaaS platforms.
Event-Driven Systems: Architect event-driven patterns using message queues, event buses, and eventual consistency models.
Multi-Region Architecture: Design and maintain multi-region architectures that ensure data consistency, fault tolerance, and high availability.
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Software Development Engineer in Test
RunPod offers GPU cloud computing for AI/ML, providing secure and community cloud options, on-demand and spot pods, and serverless GPU scaling.
Benefits:
Stock options
The flexibility of remote work with an inclusive, collaborative team.
An opportunity to grow with a company that values innovation and user-centric design.
Generous vacation policy to ensure work-life harmony and well-being.
Contribute to a company with a global impact based in the US, Canada, and Europe.
Experience Requirements:
Expertise in testing cloud-scale distributed systems with a strong focus on reliability, performance, and scalability.
Strong programming skills in at least one language, preferably Python, Golang, or Typescript.
Hands-on experience in building test automation frameworks for complex microservices architectures.
Deep understanding of CI/CD pipelines, infrastructure as code (IaC), and automated deployment strategies.
Extensive experience with load testing tools (e.g., Locust, k6, JMeter) and observability platforms (e.g., Prometheus, Grafana, OpenTelemetry, Datadog).
Responsibilities:
Design, develop, and maintain robust test automation frameworks for cloud-scale distributed systems.
Architect performance, load, and stress tests to validate system resilience under high traffic conditions.
Build fault-injection and chaos engineering strategies to assess the reliability of distributed services.
Develop and execute end-to-end integration, API, and system-level tests across microservices-based architectures.
Implement continuous testing pipelines within CI/CD workflows to accelerate deployment cycles.
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Site Reliability Engineer - Manager
RunPod offers GPU cloud computing for AI/ML, providing secure and community cloud options, on-demand and spot pods, and serverless GPU scaling.
Benefits:
Stock options
The flexibility of remote work with an inclusive, collaborative team.
An opportunity to grow with a company that values innovation and user-centric design.
Generous vacation policy to ensure work-life harmony and well-being.
Contribute to a company with a global impact based in the US, Canada, and Europe.
Experience Requirements:
5+ years of experience in Site Reliability Engineering or a similar role
3+ years of experience in a technical leadership or management position
Deep understanding of Linux systems, containerization, virtualization, and networking technologies
Strong background in managing and monitoring large-scale distributed systems and bare-metal fleets
Expertise in infrastructure-as-code and configuration management tools
Responsibilities:
Lead and mentor a team of Site Reliability Engineers, fostering a culture of innovation, continuous learning, and technical excellence
Develop and implement strategic plans to enhance the reliability, scalability, and efficiency of our infrastructure
Collaborate with cross-functional teams to align SRE initiatives with broader organizational goals
Establish and maintain SLIs, SLOs, and SLAs for critical systems and services
Drive the adoption of best practices in automation, monitoring, and incident response
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KADA Python Software Engineer
KADA is an intelligent copilot for building data trust across your organisation. It combines data observability & governance to provide data discovery, lineage, monitoring and more.
Benefits:
Profit Share / Equity Packages
Flexible Work Options
Meaningful Work
Company Retreats
Experience Requirements:
1-3 years of industry experience as a Python Software Engineer.
Responsibilities:
Design and build integration to third party data products.
Develop new APIs using Python frameworks.
Ensure code meets quality standards by building unit and performance tests.
Troubleshoot escalated support tickets to resolve technical and performance issues.
Keep up to date with python best practices. Contribute new ideas and improvements to the development processes.
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Mapping & Localisation
Aidrivers provides AI-enabled autonomous mobility solutions for industrial automation, focusing on ports and logistics. They offer autonomous vehicles, retrofitting systems, and fleet management tools to improve efficiency and sustainability.
Education Requirements:
BSc / Master's degree in computer science, Electrical Engineering, Robotics, or a related field.
Responsibilities:
Fuse data from various sensors such as lidar, radar, cameras, GPS and IMUs to enable robust mapping and localization capabilities.
Mapping System Optimization: Improve the efficiency, accuracy, and robustness of mapping systems through algorithmic optimizations, data processing techniques, and sensor calibration.
Localisation System Development: Implement algorithms and techniques to enable accurate localization of objects or vehicles in real-time scenarios, considering factors like occlusions, dynamic environments, and sensor noise.
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Mechatronics Engineer
Aidrivers provides AI-enabled autonomous mobility solutions for industrial automation, focusing on ports and logistics. They offer autonomous vehicles, retrofitting systems, and fleet management tools to improve efficiency and sustainability.
Education Requirements:
BSc/ Eng level or higher qualification or above in mechatronics engineering from a respected organisation
Experience Requirements:
2+ years’ experience in the field.
Responsibilities:
Awareness and knowledge of sensors, communication technologies, or control devices for various automation solutions
Design, develop, or implement control circuits or algorithms for electromechanical or pneumatic devices or systems
PLC programming for embedded logic programming
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Mechatronics Engineer
Aidrivers provides AI-enabled autonomous mobility solutions for industrial automation, focusing on ports and logistics. They offer autonomous vehicles, retrofitting systems, and fleet management tools to improve efficiency and sustainability.
Education Requirements:
BSc/ Eng level or higher qualification or above in mechatronics engineering from a respected organisation
Experience Requirements:
2+ years’ experience in the field.
Responsibilities:
Awareness and knowledge of sensors, communication technologies, or control devices for various automation solutions
Design, develop, or implement control circuits or algorithms for electromechanical or pneumatic devices or systems
PLC programming for embedded logic programming
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Software Engineer
Aidrivers provides AI-enabled autonomous mobility solutions for industrial automation, focusing on ports and logistics. They offer autonomous vehicles, retrofitting systems, and fleet management tools to improve efficiency and sustainability.
Experience Requirements:
Minimum 1 year experience working fulltime in a software development team
Responsibilities:
Maintain our code base
Integrate software components into a fully functional software system
Develop software verification plans and quality assurance procedures
Document and maintain software functionality
Troubleshoot, debug and upgrade existing systems
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Technical Lead
Aidrivers provides AI-enabled autonomous mobility solutions for industrial automation, focusing on ports and logistics. They offer autonomous vehicles, retrofitting systems, and fleet management tools to improve efficiency and sustainability.
Experience Requirements:
3+ years' experience within Senior / Lead position.
Responsibilities:
Perform project requirement analysis, planning, designing, and deployment management of automation projects.
Perform regular review of project execution plans, resource plans, and team performance.
CProject data governance using appropriate tools to ensure full documentation of the project execution stages.
Be adaptive and agile in project execution.
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Drive Control Engineer
Aidrivers provides AI-enabled autonomous mobility solutions for industrial automation, focusing on ports and logistics. They offer autonomous vehicles, retrofitting systems, and fleet management tools to improve efficiency and sustainability.
Education Requirements:
Masters / PhD level qualification
Responsibilities:
Research, develop / refine navigation algorithms which include behaviour modelling, motion planning and control for different mobility platforms (from a small humanoid robot to trucks with trailers).
Develop simulation environment and test the models developed.
Performing real-world experiments ensuring the developed model meets the requirements.
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Team Lead
Aidrivers provides AI-enabled autonomous mobility solutions for industrial automation, focusing on ports and logistics. They offer autonomous vehicles, retrofitting systems, and fleet management tools to improve efficiency and sustainability.
Education Requirements:
BSc/MSc degree in computer science/Engineering/Robotics
Experience Requirements:
3+ years' experience within technical lead roles
Responsibilities:
Understand the details of the project requirements, use cases and user scenarios
Design testing and commissioning documents based on operation environment use cases for efficient project deployment
Ensure projects are delivered on time, within scope by working closely with wider team following project deployment strategy / road map
Continuous QA of executed tasks, ensuring technical deployment meets industry standards
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Team Lead
Aidrivers provides AI-enabled autonomous mobility solutions for industrial automation, focusing on ports and logistics. They offer autonomous vehicles, retrofitting systems, and fleet management tools to improve efficiency and sustainability.
Education Requirements:
BSc/MSc degree in computer science/Engineering/Robotics
Experience Requirements:
3+ years' experience within technical lead roles
Responsibilities:
Understand the details of the project requirements, use cases and user scenarios
Design testing and commissioning documents based on operation environment use cases for efficient project deployment
Ensure projects are delivered on time, within scope by working closely with wider team following project deployment strategy / road map } Continuous QA of executed tasks, ensuring technical deployment meets industry standards
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Production Engineer
Aidrivers provides AI-enabled autonomous mobility solutions for industrial automation, focusing on ports and logistics. They offer autonomous vehicles, retrofitting systems, and fleet management tools to improve efficiency and sustainability.
Education Requirements:
ITE/Diploma level qualification in Robotics/ Computing/ electrical/mechanical or any other related subject
Experience Requirements:
1+ years proven professional hands-on experience.
Responsibilities:
Support team lead with integration, calibration, and verification test
Perform continues tests / data collection as per test plans.
Monitor system behavior during tests and recording observations and issues.
Perform trouble shooting and root cause analysis for observation
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