Senior Machine Learning Engineer (AI-Powered Software Platform for Hidden Physical-Threat Detection & Real-Time Intelligence) About the Company: Aerobotics7 (A7) is a mission-driven deep-tech startup focused on developing a UAV-based next-gen sensing and advanced AI platform to detect, identify, and mitigate hidden threats like landmines, UXOs, and IEDs in real-time. We are embarking on a rapid development phase, creating innovative solutions leveraging cutting-edge technologies. Our dynamic team is committed to building impactful products through continuous learning, and close cross-collaboration. Position Overview: We are seeking a Senior Machine Learning Engineer with a strong research orientation to join our team. This role will focus on developing and refining proprietary machine learning models for drone-based landmine detection and mitigation. The ideal candidate will design, develop, and optimize advanced ML workflows with an emphasis on rigorous research, novel model development, and experimental validation in deep learning, multi-modal/sensor fusion and computer vision applications. Key Responsibilities: Lead the end-to-end AI model development process, including research, experimentation, design, and implementation. Architect, train, and deploy deep learning models on cloud (GCP) and edge devices, ensuring real-time performance. Develop and optimize multi-modal ML/DL models integrating multiple sensor inputs. Implement and fine-tune CNNs, Vision Transformers (ViTs), and other deep-learning architectures. Design and improve sensor fusion techniques for enhanced perception and decision-making. Optimize AI inference for low-latency and high-efficiency deployment on production. Cross-collaborate with software and hardware teams to integrate AI solutions into mission-critical applications. Develop scalable pipelines for model training, validation, and continuous improvement. Ensure robustness, interpretability, and security of AI models in deployment. Required Skills: • Strong expertise in deep learning frameworks (TensorFlow, PyTorch). • Experience with CNNs, ViTs, and other DL architectures. • Hands-on experience in multi-modal ML and sensor fusion techniques. • Proficiency in cloud-based AI model deployment (GCP experience preferred). • Experience with edge AI optimization (NVIDIA Jetson, TensorRT, OpenVINO). • Strong knowledge of data preprocessing, augmentation, and synthetic data generation. • Proficiency in model quantization, pruning, and optimization for real-time applications. • Familiarity with computer vision, object detection, and real-time inference techniques. • Ability to work with limited datasets, including generating synthetic data (VAEs or s similar), data annotation and augmentation strategies. • Strong coding skills in Python and C++ with experience in high-performance computing. Preferred Qualifications: • Experience: 2-4+ Years. • Experience with MLOps, including CI/CD pipelines, model versioning, and monitoring. • Knowledge of reinforcement learning techniques. • Experience in working in fast-paced startup environments. • Prior experience working on AI-driven autonomous systems, robotics, or UAVs. • Understanding of embedded systems and hardware acceleration for AI workloads. Benefits: NOTE: THIS ROLE IS UNDER AEROBOTICS7 INVENTIONS PVT. LTD., AN INDIAN ENTITY. IT IS A REMOTE INDIA-BASED ROLE WITH COMPENSATION ALIGNED TO INDIAN MARKET STANDARDS. WHILE OUR PARENT COMPANY IS US-BASED, THIS POSITION IS FOR CANDIDATES RESIDING AND WORKING IN INDIA. Competitive startup-level salary and comprehensive benefits package. Future opportunity for equity options in the company. Opportunity to work on impactful, cutting-edge technology in a collaborative startup environment. Professional growth with extensive learning and career development opportunities. Direct contribution to tangible, real-world impact. How to Apply: Interested candidates are encouraged to submit their resume along with an (optional) cover letter highlighting their relevant experience and passion for working in a dynamic startup environment. For any questions or further information, feel free to reach out to us directly by emailing us at careers@aerobotics7.com. Show more Show less

Senior Machine Learning Engineer (AI-Powered Software Platform for Hidden Physical-Threat Detection & Real-Time Intelligence) About the Company: Aerobotics7 (A7) is a mission-driven deep-tech startup focused on developing a UAV-based next-gen sensing and advanced AI platform to detect, identify, and mitigate hidden threats like landmines, UXOs, and IEDs in real-time. We are embarking on a rapid development phase, creating innovative solutions leveraging cutting-edge technologies. Our dynamic team is committed to building impactful products through continuous learning, and close cross-collaboration. Position Overview: We are seeking a Senior Machine Learning Engineer with a strong research orientation to join our team. This role will focus on developing and refining proprietary machine learning models for drone-based landmine detection and mitigation. The ideal candidate will design, develop, and optimize advanced ML workflows with an emphasis on rigorous research, novel model development, and experimental validation in deep learning, multi-modal/sensor fusion and computer vision applications. Key Responsibilities: Lead the end-to-end AI model development process, including research, experimentation, design, and implementation. Architect, train, and deploy deep learning models on cloud (GCP) and edge devices, ensuring real-time performance. Develop and optimize multi-modal ML/DL models integrating multiple sensor inputs. Implement and fine-tune CNNs, Vision Transformers (ViTs), and other deep-learning architectures. Design and improve sensor fusion techniques for enhanced perception and decision-making. Optimize AI inference for low-latency and high-efficiency deployment on production. Cross-collaborate with software and hardware teams to integrate AI solutions into mission-critical applications. Develop scalable pipelines for model training, validation, and continuous improvement. Ensure robustness, interpretability, and security of AI models in deployment. Required Skills: • Strong expertise in deep learning frameworks (TensorFlow, PyTorch). • Experience with CNNs, ViTs, and other DL architectures. • Hands-on experience in multi-modal ML and sensor fusion techniques. • Proficiency in cloud-based AI model deployment (GCP experience preferred). • Experience with edge AI optimization (NVIDIA Jetson, TensorRT, OpenVINO). • Strong knowledge of data preprocessing, augmentation, and synthetic data generation. • Proficiency in model quantization, pruning, and optimization for real-time applications. • Familiarity with computer vision, object detection, and real-time inference techniques. • Ability to work with limited datasets, including generating synthetic data (VAEs or s similar), data annotation and augmentation strategies. • Strong coding skills in Python and C++ with experience in high-performance computing. Preferred Qualifications: • Experience: 2-4+ Years. • Experience with MLOps, including CI/CD pipelines, model versioning, and monitoring. • Knowledge of reinforcement learning techniques. • Experience in working in fast-paced startup environments. • Prior experience working on AI-driven autonomous systems, robotics, or UAVs. • Understanding of embedded systems and hardware acceleration for AI workloads. Benefits: NOTE: THIS ROLE IS UNDER AEROBOTICS7 INVENTIONS PVT. LTD., AN INDIAN ENTITY. IT IS A REMOTE INDIA-BASED ROLE WITH COMPENSATION ALIGNED TO INDIAN MARKET STANDARDS. WHILE OUR PARENT COMPANY IS US-BASED, THIS POSITION IS FOR CANDIDATES RESIDING AND WORKING IN INDIA. Competitive startup-level salary and comprehensive benefits package. Future opportunity for equity options in the company. Opportunity to work on impactful, cutting-edge technology in a collaborative startup environment. Professional growth with extensive learning and career development opportunities. Direct contribution to tangible, real-world impact. How to Apply: Interested candidates are encouraged to submit their resume along with an (optional) cover letter highlighting their relevant experience and passion for working in a dynamic startup environment. For any questions or further information, feel free to reach out to us directly by emailing us at careers@aerobotics7.com.

Machine Learning Engineer (Mid-Level) About the Company: Aerobotics7 (A7) is a mission-driven deep-tech startup focused on developing a UAV-based next-gen sensing and advanced AI platform to detect, identify, and mitigate hidden threats like landmines, UXOs, and IEDs in real-time. We are embarking on a rapid development phase, creating innovative solutions leveraging cutting-edge technologies. Our dynamic team is committed to building impactful products through continuous learning, and close cross-collaboration. What you ll do: Lead ML model lifecycle, from research and experiments to implementation and deployment. Build and deploy deep learning models on GCP and edge devices , ensuring real-time inference. Combine multiple sensor inputs into powerful multi-modal ML models. Implement and refine CNNs, Vision Transformers(ViT) , and other architectures. Design sensor-fusion methods for better perception and decision-making. Optimize inference for low-latency , efficient production use. Work closely with software and hardware teams to bring AI into mission-critical systems . Create and scale pipelines for training, validating, and improving models . Ensure your models are robust, interpretable, and secure. What you ll bring: Deep expertise in TensorFlow and PyTorch . Hands-on experience with CNNs, ViTs, and DL architectures. Experience with multi-modal ML and sensor fusion . Cloud deployment skills- GCP preferred . Edge AI know-how (NVIDIA Jetson, TensorRT, OpenVINO). Proficiency in quantization, pruning, and real-time model optimization . Solid computer vision and object detection experience. Ability to work with limited datasets (using VAEs or similar) to generate synthetic data , and experience with annotation and augmentation. Strong coding skills in Python and C++ , with high-performance computing expertise. Nice to have: 2-4 years of relevant experience. MLOps experience- CI/CD, model versioning, monitoring. Knowledge of reinforcement learning. Experience in working in fast-paced startup environments. Experience in AI for autonomy, robotics, or UAV systems. Knowledge of embedded systems and hardware acceleration for AI. Benefits: Note: This is a remote role based in India and is compensated at market-competitive Indian salary standards . Although our parent company is based in the US, this role is specifically for candidates residing and working from India, and remuneration will reflect Indian market rates . Competitive salary and comprehensive benefits package. Future opportunity for equity options in the company. Opportunity to work on impactful, cutting-edge technology in a collaborative startup environment. Professional growth with extensive learning and career development opportunities. Direct contribution to tangible, real-world impact.

Full-Stack Engineer About the Company: Aerobotics7 (A7) is a mission-driven deep-tech startup focused on developing an autonomous next-gen sensing and advanced AI platform to detect, identify, and mitigate hidden threats like landmines, UXOs, and IEDs in real-time. We are embarking on a rapid development phase, creating innovative solutions leveraging cutting-edge technologies. Our dynamic team is committed to building impactful products through continuous learning, and close cross-collaboration. What You ll Do: Ship operator dashboards in React / Next.js / TypeScript with low latency, responsive geospatial layers (Mapbox, CesiumJS). Own backend services in Node.js or Python (FastAPI / Django). Expose REST APIs that stream UAV/UGV & sensor data via WebRTC, GStreamer, WebSockets, MQTT. Manage data in PostgreSQL, MongoDB, or TimescaleDB plus Redis; secure pipelines for multi modal AI outputs. Plug in AI models from our ML & Robotics teams and support edge - cloud inference loops. Deploy & monitor on GCP using Docker, Kubernetes, and CI/CD. Contribute to Electron desktop and React Native / Flutter mobile apps used in the field. What You Bring 2 5 yrs delivering production features end to end (frontend + backend). Expert in React + TypeScript/Next.js & Node.js or Python (FastAPI/Django) . Built and tuned real time data streams : WebRTC, GStreamer, WebSockets, MQTT. Solid with Mapbox/CesiumJS and performance heavy geospatial UIs. Deployed containerized services on GCP/AWS with Docker, K8s, CI/CD & monitoring. Strong schema design + tuning for PostgreSQL/TimescaleDB and Redis ; security minded. Nice To Haves: Experience in handling sensor data. Background in Drones/UAV or Robotics projects. Experience with Go programming language, showcase relevant projects. Knowledge of Docker/Kubernetes containerization and deployment processes. Previous experience in fast-paced startups or small teams. Benefits: NOTE: THIS ROLE IS UNDER AEROBOTICS7 INVENTIONS PVT. LTD., AN INDIAN ENTITY. IT IS A REMOTE INDIA-BASED ROLE WITH COMPENSATION ALIGNED TO INDIAN MARKET STANDARDS. WHILE OUR PARENT COMPANY IS US-BASED, THIS POSITION IS FOR CANDIDATES RESIDING AND WORKING IN INDIA. Competitive startup-level salary and comprehensive benefits package. Future opportunity for equity options in the company. Opportunity to work on impactful, cutting-edge technology in a collaborative startup environment. Professional growth with extensive learning and career development opportunities. Direct contribution to tangible, real-world impact. For any questions or further information, feel free to reach out to us directly by emailing us at careers@aerobotics7.com .

About the Company: Aerobotics7 (A7) is a mission-driven deep-tech startup focused on developing an autonomous next-gen sensing and advanced AI platform to detect and identify hidden threats like landmines and UXOs, in real-time. Our driven team is committed to building mission-critical products through continuous learning, rapid execution and close cross-collaboration. We are intentionally a small, strong, and highly technical team to deliver impactful products that can solve some of the biggest problems in the world. What you’ll do: Lead full ML model lifecycle , from research and experiments to implementation and deployment. Build and deploy deep learning models on GCP and edge devices , ensuring real-time inference. Combine multiple sensor inputs into powerful multi-modal ML models . Implement and refine CNNs, Vision Transformers(ViT) , and other architectures. Design sensor-fusion methods for better perception and decision-making. Optimize inference for low-latency , efficient production use. Work closely with software and hardware teams to bring AI into mission-critical systems. Create and scale pipelines for training, validating, and improving models. What you’ll bring: Deep expertise in TensorFlow and PyTorch . Hands-on experience with CNNs, ViTs , and DL architectures. Experience with multi-modal ML and sensor fusion . Cloud deployment skills- GCP preferred . Edge AI know-how (NVIDIA Jetson, TensorRT, OpenVINO). Proficiency in quantization, pruning, and real-time model optimization. Solid computer vision and object detection experience. Ability to work with limited datasets (using VAEs or similar) to generate synthetic data , and experience with annotation and augmentation . Strong coding skills in Python and C++ , with high-performance computing expertise. Nice to have: 2-4 years of relevant experience. MLOps experience- CI/CD , model versioning , monitoring . Knowledge of reinforcement learning . Experience in working in fast-paced startup environments. AI for autonomy, robotics, or UAV systems. Knowledge of embedded systems and hardware acceleration for AI. Benefits: NOTE: THIS ROLE IS UNDER AEROBOTICS7 INVENTIONS PVT. LTD., AN INDIAN ENTITY. IT IS A REMOTE INDIA-BASED ROLE WITH COMPENSATION ALIGNED TO INDIAN MARKET STANDARDS. WHILE OUR PARENT COMPANY IS US-BASED, THIS POSITION IS FOR CANDIDATES RESIDING AND WORKING IN INDIA. Competitive salary and comprehensive benefits package. Future opportunity for equity options in the company. Opportunity to work on impactful, cutting-edge technology in a collaborative startup environment. Professional growth with extensive learning and career development opportunities. Direct contribution to tangible, real-world impact.