Responsibilities:

• Annotate, label, and categorize images and videos for training computer vision models.

• Review and validate annotations to ensure accuracy and consistency across datasets.

• Collaborate with the AI/ML team to define annotation guidelines and workflows.

• Perform quality control checks on datasets to identify and correct errors.

• Provide feedback to improve annotation tools and processes. Manage and organize large datasets, ensuring data security and confidentiality. Stay updated on advancements in computer vision and data annotation techniques.

Responsibilities:

• Design, develop, and maintain server-side applications and APIs for web and mobile platforms.

• Collaborate with front-end developers, product managers, and data scientists to integrate user-facing elements with backend logic.

• Optimize application performance for speed and scalability.

• Ensure data security and implement best practices for backend architecture.

• Work with databases, designing schemas, writing queries, and managing data efficiently. Troubleshoot, debug, and resolve backend issues in a timely manner. Mentor junior developers and review code to maintain high-quality standards. Stay updated on the latest trends and tools in backend development and cloud computing.

Responsibilities:

• Design, develop, and optimize embedded systems for sensor integration in fitness equipment.

• Implement and test a variety of sensors (e.g., force, motion, proximity, and pressure sensors) to ensure high accuracy and reliability.

• Create schematics and design PCBs for embedded systems, considering size, power efficiency, and cost.

• Collaborate with cross-functional teams to ensure seamless integration of hardware with software systems. Prototype, debug, and validate hardware components, identifying and solving design and implementation challenges. Develop firmware for sensor communication and data acquisition. Conduct performance testing of sensors and PCBs, ensuring compliance with industry standards. Stay updated on the latest sensor and embedded technology trends to integrate innovative solutions into our products. Prepare and maintain technical documentation, including design files, test results, and user manuals.

Responsibilities:

• Design and implement end-to-end MLOps pipelines for model development, training, and deployment

• Build and maintain scalable AI training and serving infrastructure

• Create automated CI/CD pipelines specifically tuned for deep learning models

• Implement comprehensive monitoring systems for model performance and system health

• Develop scalable solutions for efficient serving of large AI models in production Collaborate with AI Engineers to optimize model deployment workflows Set up and maintain model registry and versioning systems Implement distributed training environments and data pipelines Design and maintain testing frameworks for AI systems Establish metrics collection and visualization for model performance Create reproducible environments for AI development Optimize GPU/TPU resource utilization and management Implement disaster recovery and high availability for AI systems Set up distributed training environments for large-scale models Implement efficient data pipelines for training and inference

Responsibilities:

• Develop and deploy advanced image and video processing algorithms with a focus on real-time performance.

• Utilize libraries like OpenCV, YOLO, TensorFlow, and PyTorch for object detection, recognition, and tracking.

• Optimize image processing workflows for latency-sensitive applications on edge devices.

• Train, fine-tune, and deploy machine learning (ML) and deep learning (DL) models on platforms like Jetson Nano and Raspberry Pi.

• Implement AI models for computer vision tasks, including object detection, segmentation, and anomaly detection. Leverage hardware acceleration (e.g., NVIDIA TensorRT) for performance optimization. Interface SBCs with peripheral devices like cameras, sensors, and actuators for seamless system integration. Design and implement real-time processing pipelines for image and video analytics applications. Optimize algorithms for performance, energy efficiency, and memory utilization on embedded platforms. Conduct profiling and performance tuning of ML/DL models on edge devices. Conduct rigorous testing of real-time image processing and AI systems under various environmental conditions. Ensure systems meet accuracy, latency, and reliability requirements for deployment in real-world scenarios. Collaborate with AI researchers, software developers, and hardware engineers to deliver high-impact solutions. Create detailed documentation for system designs, algorithms, and deployment processes.

Responsibilities:

• Build full-stack features with TypeScript, React, LLMs, Postgres, Redis, and Next.js.

• Own projects from start to finish.

• Collaborate with product minds and designers.

Benefits:

• International product and innovation-driven team with rich expertise in Computer Vision and Reinforcement Learning as well as distributed training, data engineering, ML ops and cloud architectures

• Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)

• Personal growth: Receive continuous training and education opportunities. Budget and time allotment for the pursuit of individual R&D projects, training or conference participations

• Flexible work models: Remote work, an office in Vienna's 1st district and minimal core hours

Experience Requirements:

• 3+ years of work experience in data-driven environments

• Passionate about everything related to AI, Machine Learning and Computer Vision

Other Requirements:

• Python programming skills, emphasis on data engineering and distributed processing (e.g. Flask, Postgres, SQLalchemy, Airflow)

• Proficiency in working with databases and data storage solutions

• Experience with Kubernetes and Docker (Helm, Terraform, Amazon Kubernetes Service)

• Familiarity with cloud environments (AWS, Gcloud, Azure)

• Used to mature workflows in software development (Git, issue management, documentation, unit testing, CI/CD)

• Fluent in English both spoken and in written language.

• Valid work permit for Austria

Responsibilities:

• Collaborate with our machine learning and backend engineers to design and manage scalable processing pipelines in productive environments.

• Implement robust processing flows and I/O-efficient data structures, powering use cases such as road surface analysis, sign detection and localization on large volumes of point cloud and imagery data.

• Design and manage relevant database schemes in close collaboration with backend engineering.

• Create and maintain comprehensive documentation of the processing pipelines, database schemes, configuration and software architecture.

Benefits:

• International product and innovation-driven team with rich expertise in Computer Vision and Reinforcement Learning as well as distributed training, data engineering, ML ops and cloud architectures

• Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)

• Personal growth: Receive continuous training and education opportunities. Budget and time allotment for the pursuit of individual R&D projects, training or conference participations

• Flexible work models: Remote work, an office in Vienna's 1st district and minimal core hours

Experience Requirements:

• 3+ years of work experience in data-driven environments

• Passionate about everything related to AI, Machine Learning and Computer Vision

Other Requirements:

• Experience with Kubernetes and Docker (Helm, Terraform, Amazon Kubernetes Service)

• Familiarity with cloud environments (AWS, Gcloud, Azure)

• Python programming skills, emphasis on backend related technologies (e.g. Flask, Postgres, SQLalchemy)

• Used to mature workflows in software development (Git, issue management, documentation, unit testing, CI/CD)

• Data engineering knowledge (SQL databases, distributed systems)

• Fluent in English both spoken and in written language.

• Valid work permit for Austria

Responsibilities:

• Collaborate with our machine learning engineers and data engineers to publish our models into processing pipelines and deploy to productive environments.

• Design and manage our GPU & CPU server infrastructure, from on-prem Kubernetes clusters to cloud deployments.

• Manage and orchestrate the data pipelines and data storage systems and associated synchronization processes for model training and execution.

• Own our CI/CD pipelines (based on Gitlab)

• Establish monitoring of model, pipeline and infrastructure health. Set up logging to capture relevant information for debugging and auditing.

Benefits:

• Family Health Insurance

• Accident & Term Life Insurance

Education Requirements:

• B.Tech / B.E.

Experience Requirements:

• 3 - 6 years

Responsibilities:

• Design, Develop, Test and Deploy various business applications/websites using Microsoft Technology Stack as per project deadlines with quality output (bug/glitch-free).

• Excellent knowledge and exposure of ASP.Net, C#.NET, MVC, 3-Tier Architecture, Design Patterns, WCF services, SQL Server programmability.

• Exposure on Client-side web technologies like Java Script frameworks (JQuery/Knockout JS/Angular JS). Exposure toward Visual Studio, Source Control/Versioning, Web APIs and Web Services.

• Exposure in deploying the application/website on the IIS server/DMZ environment/ Cloud (AWS / Azure)

Benefits:

• Generous Vacation: Flexible PTO

• Health/Wellness: stipend of $200 per month

• Cell Phone Allowance: $37.50 per pay period ($75 per month) automatically included with each pay period to help cover cell phone costs

• Health Insurance: Infinite Athlete covers 100% of monthly premiums for medical, dental and vision benefits for you and 95% for your dependents

• 401(K) Contribution: 401(k) plan with up to 4% matching

Experience Requirements:

• 7+ years of software development experience

• Deep understanding of common techniques for both batch processing and stream processing

• Experience developing data lakes and warehouses such as Redshift for storing and analyzing large data sets

• Extensive experience coding in type-safe systems programming languages such as Golang

• History of building highly available cloud-native architectures using infrastructure as code frameworks such as the AWS CDK Understanding of concurrency control patterns and NoSQL databases such as DynamoDB Excellent technical communication skills in written media, such as design documentation and code reviews

Responsibilities:

• building out the infrastructure that underpins all of our systems

• ingest data from first and third-party services

• ensure that it’s accurate and comprehensive

• make it available in our data warehouses for use by our other services

• driving architectural design discussions and ensuring that the team’s processes and output maintain a high bar for quality

Benefits:

• Generous Vacation: Flexible PTO

• Health/Wellness: stipend of $200 per month

• Cell Phone Allowance: $37.50 per pay period ($75 per month) automatically included with each pay period to help cover cell phone costs

• Health Insurance: Infinite Athlete covers 100% of monthly premiums for medical, dental, and vision benefits for you and 95% for your dependents

• 401(K) Contribution: 401(k) plan with up to 4% matching

Experience Requirements:

• 7+ years of software development experience

• Extensive experience coding in type-safe systems programming languages such as Golang

• History of building highly available cloud-native architectures using infrastructure as code frameworks such as the AWS CDK

• Excellent technical communication skills in written media, such as design documentation and code reviews

Responsibilities:

• building out the sports API at the heart of all our products

• building out FusionFeed’s GraphQL and REST APIs in AWS using Golang

• ensuring that FusionFeed performs well at high traffic volumes, remains secure, and maximizes uptime

• maintain developer resources such as API reference and SDKs

• driving architectural design discussions and ensuring that the team’s processes and output maintain a high bar for quality.

Education Requirements:

• DUT GEII

Experience Requirements:

• expérience significative dans l’installation, la programmation et la maintenance d’automates/équipements CVC/HVAC/SMART BUILDING.

Responsibilities:

• Participer aux études de conception et au chiffrage des projets d’intégration de smart GTB

• Réaliser et/ou participer à la programmation des automates conformément aux spécifications de l’entreprise

• Réaliser et/ou participer à la programmation des supervisions et IHM conformément aux spécifications de l’entreprise

Experience Requirements:

• 3+ years

Benefits:

• Unlimited time off

• Mental health days

• Paid parental leave

• $500 home office improvement budget

• $500 annual learning & development budget

Experience Requirements:

• 4+ years experience in web development

• Experience with React and other frontend frameworks

• Experience with node.js and Typescript

• Experience building systems utilizing cloud based services like Google Cloud, and AWS.

Responsibilities:

• Work closely with other engineer and product managers to design and build world-class product experiences

• Take end to end responsibility of your features; including implementation, gathering feedback, testing, and deployment

• Champion the needs of Builder’s customer base through customer empathy, iteration, bug fixes, and feature ownership

• Be given opportunities to stretch yourself by learning new technologies and staying up to date with new advancements in the AI and software engineering worlds

Benefits:

• Unlimited time off

• Mental health days

• Paid parental leave

• $500 home office improvement budget

• $500 annual learning & development budget

Experience Requirements:

• 6+ years experience in web development

• Experience with React or any frontend frameworks, Node.js, and Typescript

Responsibilities:

• Work closely with other engineers, designers, and team leads to design and build world-class product experiences

• Be responsible for the entirety of your features; including API design, gathering feedback, implementation, testing, and deployment

• Champion the needs of Builder’s customer base through customer empathy, iteration, and feature ownership

• Provide input to aid in the technical decision making, values, and overall direction of the engineering team

Education Requirements:

• Doctor

Education Requirements:

• Master

Benefits:

• Various insurance complete (health insurance, employee pension, employment insurance, worker's accident compensation insurance)

• Commuting allowance

• Qualification acquisition support system

• Referral adoption support system (employee referral allowance, lunch expense subsidy)

Experience Requirements:

• 5+ years of experience designing and implementing complex systems

• Extensive experience in architectural design and technical decision-making

• Knowledge and practical experience in maintaining and improving code quality

• Experience in code review and maintaining/improving code quality

• Network/database knowledge

Responsibilities:

• Lead the design, implementation, and release of products in the AI platform "FastLabel" development team, demonstrating technical leadership.

• Address technical debt, introduce new technologies, and optimize system scalability and performance.

• Promote the improvement of the technical capabilities of the entire team.

Benefits:

• Various insurance complete (health insurance, employee pension, employment insurance, worker's accident compensation insurance)

• Commuting allowance

• Qualification acquisition support system

• Referral adoption support system (employee referral allowance, lunch expense subsidy)

Experience Requirements:

• Proficient in TypeScript with 3+ years of front-end development experience

• Experience in code review and maintaining/improving code quality

• Interface design and code implementation that considers needs and usability

Responsibilities:

• Front-end feature development and improvement

• Lead design, implementation, testing, and release based on the feature development roadmap

• Performance optimization through code refactoring and architecture improvement

Responsibilities:

• Design, develop, and maintain high-quality front-end interfaces for cross-platform web applications (PC+Mobile), Node.js applications, and Hybrid Apps, in accordance with product requirements.

• Enhance operational efficiency by implementing or optimizing tools through a comprehensive comprehension of the front-end development workflow.

• Optimize user experience and stimulate business expansion by leveraging a comprehensive comprehension of product requirements.

• Keep abreast of the latest advancements in front-end technologies and leverage them to enhance team productivity and drive business growth.