Interested Candidates please fill out the following form: https://forms.office.com/Pages/ResponsePage.aspx?id=5B0nld4yEEuMJhkjJtBBZWyQS8fAZDhOgUNb_NMHoORUMVJNRTlJWVBER01LUjZPWlRDRDMzS0Q2VSQlQCN0PWcu Experience Required: 1+ year About Smartan FitTech: Smartan FitTech is a deep-tech startup revolutionizing the fitness ecosystem by leveraging cutting-edge technologies such as AI, computer vision, and machine learning. We aim to provide seamless and smart fitness solutions to enhance individual performance and engagement. Job Description: We are looking for a skilled Flutter Developer to join our team. You will be responsible for developing high-quality applications across Android, iOS, and Windows platforms. The ideal candidate should have experience in Flutter development with backend integration using NodeJS and strong expertise in GIT version control, Docker, and Kubernetes . Key Responsibilities: Develop, test, and maintain cross-platform applications using Flutter . Implement backend integration with NodeJS and RESTful APIs . Work with Firebase and Google Cloud Platform (GCP) products for authentication, real-time database, and cloud storage. Implement asynchronous and synchronous SQLite database operations efficiently. Integrate Unity with Flutter for immersive and interactive experiences. Ensure secure and scalable deployment using Docker and Kubernetes . Manage version control with GIT , ensuring smooth collaboration and code integrity. Handle application deployment to Google Play Store, Apple App Store, and Windows Store . Conduct unit and integration testing to ensure application stability and performance. Required Skills & Qualifications: 1+ years of experience in Flutter development . Strong proficiency in NodeJS for backend integration. Experience with GIT version control . Knowledge of Docker and Kubernetes for deployment. Familiarity with Firebase and Google Cloud Platform (GCP) services. Hands-on experience in SQLite database management with asynchronous and synchronous operations. Prior experience in RESTful API integration . Experience in deploying applications to App Store, Play Store, and Windows Store . Strong debugging and testing abilities (unit and integration testing) . Knowledge of integrating Unity with Flutter is a plus. Preferred Qualifications: Experience in handling CI/CD pipelines. Understanding of Agile/Scrum methodologies. Good problem-solving and analytical skills. Passionate about fitness technology and innovation. Why Join Us? Work on cutting-edge fitness technology solutions. A fast-paced and innovative work environment. Opportunity to grow and take ownership of key projects. Competitive salary and benefits. Show more Show less

Job Title: AI Engineer – Computer Vision (Onsite/Remote, Full-Time) Location: Remote/Onsite – Chennai Duration: Full Time Experience: 1-5 years preferred Package: Up to 9LPA (Based on Experience) Role Overview: As an AI Engineer, you’ll lead the design, development, and deployment of advanced computer vision models for human motion understanding and video analytics. You'll work across the full lifecycle of AI development — from data pipelines to inference optimization — helping ship features that power our next-generation fitness intelligence systems. This is a high-impact, engineering-heavy role with a strong focus on real-world deployment, performance, and scale — not academic prototyping. Key Responsibilities: 1. Own the end-to-end lifecycle of computer vision models: from experimentation to deployment and monitoring. 2. Build and optimize deep learning models (YOLOv8, Vision Transformers, EfficientNet, SlowFast, I3D) for: i. ii. iii. Pose estimation and skeleton tracking Activity recognition and classification Posture correction and rep counting 3. Apply transfer learning, fine-tuning, and knowledge distillation techniques for performance and generalization. 4. Design scalable pipelines for video data ingestion, annotation, preprocessing, and augmentation. 5. Integrate AI modules into cloud-based (Azure/AWS) environments using REST APIs or microservices. 6. Optimize model inference using ONNX, TensorRT, and quantization strategies for real-time or edge deployment. 7. Collaborate cross-functionally with product, design, and frontend/backend teams to align on deliverables and timelines. 8. Stay up to date with the latest in vision research and evaluate new techniques for production integration. Required Skills: 1. Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related discipline. 2. 2+ years of experience building and deploying computer vision models in production environments. 3. Proficient in Python, with deep experience in PyTorch and/or TensorFlow. 4. Hands-on expertise in models such as: a. YOLOv5/YOLOv8 b. Vision Transformers (ViT, TimeSformer) o ResNet, EfficientNet o SlowFast, I3D, UNet 5. Experience working with pose estimation frameworks (Mediapipe, OpenPose, Detectron2). 6. Strong understanding of camera calibration, 3D geometry, and real-time motion tracking. 7. Experience integrating models into cloud environments (Azure, AWS) using APIs or containers. 8. Familiarity with tools such as OpenCV, MMAction2, DeepSort, and ONNX/TensorRT. Preferred Skills: Experience in real-time video analytics, edge AI, and system optimization. Familiarity with CI/CD pipelines, Docker, and monitoring tools for deployed models. Prior experience in the fitness or healthcare domain with time-series or movement data. Strong grasp of system-level design: latency tradeoffs, hardware acceleration, and scalability. What You’ll Gain A key role in shaping the next generation of intelligent fitness systems. Flexible work environment with learning and mentorship. Autonomy, ownership, and the opportunity to deploy models used by real users. A fast-paced environment with exposure to the full AI pipeline, from data to deployment. Collaborative team culture with a focus on engineering excellence and innovation. Job Type: Full-time Pay: ₹500,000.00 - ₹900,000.00 per year Benefits: Health insurance Schedule: Fixed shift Work Location: In person Expected Start Date: 15/07/2025

Job Title: Data Acquisition & Preparation Associate Location: Adyar, Chennai Company: Smartan FitTech Employment Type: Full-time Experience Level: Fresher About Smartan: Smartan FitTech is a deep-tech startup revolutionizing the fitness ecosystem through cutting-edge computer vision and intelligent systems. We are currently expanding our team to support the development of AI-driven fitness products and solutions. Role Overview: We are looking for a meticulous and tech-savvy individual to support our AI and engineering teams in data related operations. This role focuses on managing the complete data acquisition pipeline — from raw data collection to final dataset preparation enabling high-quality inputs for machine learning and system calibration. Important: This job requires frequent travel to data collection sites. Key Responsibilities: Perform data collection in various indoor and outdoor environments, adhering to required protocols. Carry out data segregation based on pre-defined labels, attributes, and usability. Prepare structured datasets for training, validation, and testing purposes. Upload and organize data into specified directories in alignment with our version control and storage systems. Conduct camera calibration and ensure all sensor systems are ready for data acquisition. Coordinate with the AI and software teams to meet data format and quality requirements. • Maintain documentation of data collection sessions, file naming conventions, and calibration logs. Required Skills: Basic understanding of image/video data formats, storage structures, and annotation workflows. Experience or willingness to learn camera calibration and sensor setup. Familiarity with tools like OpenCV, Python (optional but preferred), and data transfer protocols. Ability to follow structured protocols and pay attention to detail. Good organizational and file management skills. Preferred Qualifications: Bachelor's degree or diploma in any field. Previous internship or project experience in data collection or preparation for machine learning. Background in Computer Science, Electronics, AI, Data Science, or related fields. Familiarity with computer vision pipelines is a plus. Why Join Us? Opportunity to work on cutting-edge AI & computer vision systems. Be part of a growing startup shaping the future of intelligent fitness tech. Collaborative work culture with exposure to cross-functional teams. Job Type: Full-time Pay: ₹240,000.00 - ₹300,000.00 per month Benefits: Health insurance Schedule: Fixed shift Work Location: In person Expected Start Date: 21/07/2025

Job Title: Data Acquisition & Preparation Associate Location: Chetpet, Chennai Company: Smartan FitTech Employment Type: Full-time Experience Level: Fresher Package: Up to 3LPA About Smartan: Smartan FitTech is a deep-tech startup revolutionizing the fitness ecosystem through cutting-edge computer vision and intelligent systems. We are currently expanding our team to support the development of AI-driven fitness products and solutions. Role Overview: We are looking for a meticulous and tech-savvy individual to support our AI and engineering teams in data-related operations. This role focuses on managing the complete data acquisition pipeline — from raw data collection to final dataset preparation enabling high-quality inputs for machine learning and system calibration. Important: This job requires frequent travel to data collection sites. Key Responsibilities: • Perform data collection in various indoor and outdoor environments, adhering to required protocols. • Carry out data segregation based on pre-defined labels, attributes, and usability. • Prepare structured datasets for training, validation, and testing purposes. • Upload and organize data into specified directories in alignment with our version control and storage systems. • Conduct camera calibration and ensure all sensor systems are ready for data acquisition. • Coordinate with the AI and software teams to meet data format and quality requirements. • Maintain documentation of data collection sessions, file naming conventions, and calibration logs. Required Skills: • Basic understanding of image/video data formats, storage structures, and annotation workflows. • Experience or willingness to learn camera calibration and sensor setup. • Familiarity with tools like OpenCV, Python (optional but preferred), and data transfer protocols. • Ability to follow structured protocols and pay attention to detail. • Good organizational and file management skills. Preferred Qualifications: • Bachelor's degree or diploma in any field. • Previous internship or project experience in data collection or preparation for machine learning. • Background in Computer Science, Electronics, AI, Data Science, or related fields. • Familiarity with computer vision pipelines is a plus. Why Join Us? • Opportunity to work on cutting-edge AI & computer vision systems. • Be part of a growing startup shaping the future of intelligent fitness tech. • Collaborative work culture with exposure to cross-functional teams.