Responsibilities:

• Develop, test, and deploy visually appealing, user-friendly web and mobile interfaces.

• Collaborate with designers and backend engineers to ensure seamless integration of APIs and UI components.

• Write clean, modular, and maintainable code using modern JavaScript frameworks and libraries (e.g., React, Vue.js, or Angular).

• Optimize frontend performance to ensure fast load times and a smooth user experience.

• Implement responsive designs that work across a range of devices and screen sizes. Participate in code reviews, testing, and debugging to maintain high-quality standards. Stay updated on the latest trends and best practices in frontend development and UI/UX design.

Responsibilities:

• Assist in developing and maintaining server-side applications and APIs.

• Work with databases to design schemas, write queries, and manage data efficiently.

• Collaborate with front-end engineers to integrate user-facing elements with backend services.

• Ensure the performance, scalability, and security of backend systems.

• Debug and troubleshoot issues in backend code and infrastructure. Write clean, maintainable, and well-documented code. Participate in code reviews and team discussions to enhance overall code quality.

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 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.

Experience Requirements:

• Demonstrable experience in marketing together with the potential and attitude required to learn

• Proven experience of minimum of 1.5 years in identifying target audiences and in creatively devising and leading across channels marketing campaigns that engage, educate and motivate

Responsibilities:

• Develop strategies and tactics to get the word out about our company and drive qualified traffic to our front door

• Deploy successful marketing campaigns and own their implementation from ideation to execution

• Experiment with a variety of organic and paid acquisition channels like content creation, content curation, pay per click campaigns, event management, publicity, social media, lead generation campaigns, copywriting, performance analysis

• Produce valuable and engaging content for our website and blog that attracts and converts our target groups

• Build strategic relationships and partner with key industry players, agencies and vendors ●Prepare and monitor the marketing budget on a quarterly and annual basis and allocate funds wisely ●Oversee and approve marketing material, from website banners to hard copy brochures and case studies ●Measure and report on the performance of marketing campaigns, gain insight and assess against goals ●Analyze consumer behavior and adjust email and advertising campaigns accordingly

Education Requirements:

• Bachelor's degree in computer science, computer engineering, or related field.

Experience Requirements:

• 1-2 years of experience as a Python developer.

• Expert knowledge of Python and related frameworks including Django and Flask.

• A deep understanding and multi-process architecture and the threading limitations of Python.

Responsibilities:

• Coordinating with development teams to determine application requirements.

• Writing scalable code using Python programming language.

• Testing and debugging applications.

• Developing back-end components.

• Integrating user-facing elements using server-side logic.

Responsibilities:

• Search & identify key companies to target for business growth and development

• Generate prospects in targeted market

• Qualify leads that are generated via marketing activities

• Collaborate with stakeholders and enrich details in CRM

• Work on ad-hoc projects which are critical to our businessEnrich the existing prospect data on Salesforce

Benefits:

• Health & Wellness

• Work/Life Balance

Experience Requirements:

• 3 - 5 Years

Responsibilities:

• Managing the complete software development process from conception to deployment

• Developing and managing well-functioning databases and applications

• Modifying and testing changes to previously developed program

Benefits:

• Health & Wellness

• Work/Life Balance

Experience Requirements:

• 3+ years

Responsibilities:

• Ability to select the appropriate classified image libraries and algorithms to develop anomaly detection applications

• Develop solution architecture and generate drafts for design reviews

• Assist in the installation and running of product demonstrations

Benefits:

• Health & Wellness

• Work/Life Balance

Experience Requirements:

• 2 years

Responsibilities:

• Ability to select the appropriate classified image libraries and algorithms to develop anomaly detection applications

• Develop solution architecture and generate drafts for design reviews

• Assist in the installation and running of product demonstrations

Benefits:

• Health & Wellness

• Work/Life Balance

Responsibilities:

• Learn the technical details pertaining to how Computer Vision AI software works and what problems it solves for our customers

• Understand the requirements of customers and apply product knowledge to meet those requirements

• Treat potential customers as long-term prospects

Benefits:

• Health & Wellness

• Work/Life Balance

Experience Requirements:

• 4 - 6 years

Benefits:

• Health & Wellness

• Work/Life Balance

Experience Requirements:

• 6 - 10 years

Benefits:

• Health & Wellness

• Work/Life Balance

Experience Requirements:

• 6 month - 1 year

Responsibilities:

• Extraction of images from videos and selecting unique frames to annotate

• Tagging and annotating image data using label Img and providing useful information for the machine learning team using internal tools

• Extraction of image paths

Benefits:

• Health & Wellness

• Work/Life Balance

Experience Requirements:

• 1+ years

Benefits:

• Flexible work schedules

• Two weeks PTO

• Nine paid holidays

• One week sick time

• Medical, dental, and vision coverage (for you and your dependents)401K plan with company matchLife insuranceShort and long-term disabilityHSAFSALegal adviceOn-site gym (some locations)Free snacks and drinks (some locations)Weekly company-sponsored happy hours (some locations)Parking, gas, or public transit benefits (some locations)Annual "day of service"Employee ownership shares

Benefits:

• Flexible work schedules

• Two weeks PTO

• Nine paid holidays

• One week sick time

• Medical, dental, and vision coverage (for you and your dependents)401K plan with company matchLife insuranceShort and long-term disabilityHSAFSALegal adviceOn-site gym (some locations)Free snacks and drinks (some locations)Weekly company-sponsored happy hours (some locations)Parking, gas, or public transit benefits (some locations)Annual "day of service"Employee ownership shares

Benefits:

• Flexible work schedules

• Two weeks PTO

• Nine paid holidays

• One week sick time

• Medical, dental, and vision coverage (for you and your dependents)401K plan with company matchLife insuranceShort and long-term disabilityHSAFSALegal adviceOn-site gym (some locations)Free snacks and drinks (some locations)Weekly company-sponsored happy hours (some locations)Parking, gas, or public transit benefits (some locations)Annual "day of service"Employee ownership shares