Company Description Syntarix Tech Pvt. Ltd. is a technology, consulting and digital transformation company focused on building intelligent, scalable and secure technology solutions. Our work spans Artificial Intelligence, automation, software development, cybersecurity, digital transformation and technology consulting.

Syntarix is developing AI led solutions that combine intelligent automation, conversational systems, workflow orchestration and business application integrations to help organisations improve operational efficiency and accelerate business outcomes.

Role Description We build AI-enabled autonomous systems for defence and national security: drone-based ISR, drone traffic control, situational awareness and mission management platforms. You will be our core AI/ML and computer vision engineer. You will design, train, optimise and deploy perception systems that run reliably on edge hardware in field conditions: disconnected, bandwidth-limited, harsh environments where accuracy and latency directly affect mission outcomes.

You will start on our current drone ISR programme and then lead AI/CV work across our future defence and dual-use programmes, including unmanned aerial and ground systems, perimeter and border surveillance, sensor fusion and command-and-control platforms.

Key Responsibility

Perception and model development

- Design, train and evaluate object detection, classification, segmentation and multi-object tracking models for aerial, ground and fixed-sensor imagery (EO, thermal/IR and multispectral).
- Solve hard real-world problems: small objects at altitude, occlusion, camouflage, low light and night, haze, motion blur and terrain variation across Indian operating environments.
- Build target geolocation pipelines that combine detections with platform pose, gimbal angles and elevation data.
- Develop sensor-fusion approaches combining EO/IR, radar tracks, telemetry and other sources into a unified picture.

Edge deployment and optimization

- Deploy models on embedded and edge platforms (NVIDIA Jetson Orin family or equivalent) using TensorRT, ONNX, INT8/FP16 quantization, pruning and distillation.




- Build real-time video pipelines (GStreamer/DeepStream or equivalent) that meet strict latency, throughput, power and thermal budgets.
- Design systems that degrade gracefully, fall back to ground-side processing, and work offline-first.

Data and MLOps

- Own the data lifecycle: planning field data collection, annotation guidelines, managing labelling teams or vendors, dataset versioning and quality control.
- Use public datasets (e.g., VisDrone, DOTA, xView) and synthetic data or simulation (Isaac Sim, Gazebo, Unreal-based tools) to close domain gaps.
- Set up reproducible training, evaluation and model-release pipelines on on-premise, air-gapped infrastructure.
- Define meaningful metrics (per-class, per-altitude, per-condition) and report model performance honestly against operational requirements.

Systems integration and field work

- Integrate perception outputs with autonomy, mission-planning and operator-interface teams through ROS 2, MAVLink/MAVSDK and well-defined APIs.
- Take part in SITL/HITL testing, flight trials and field evaluations, including outdoor work in demanding conditions.
- Support performance benchmarking, failure analysis and technical documentation for customer trials and evaluations.

Technical leadership

- Evaluate new research and decide what is production-ready and what isn’t.
- Set coding, evaluation and documentation standards for the AI/ML function, and mentor junior engineers and interns as the team grows.
- Contribute AI/ML scoping, effort estimates and technical content to proposals for new defence programmes (e.g., iDEX, ADITI, Army Design Bureau engagements).

Qualifications

- B.Tech/M.Tech/MS/PhD in Computer Science, Electronics, AI/ML, Robotics or a related field.
- 4+ years of hands-on computer vision and deep learning experience,



with at least one model shipped to production or a real field deployment.
- Solid experience with modern detection and tracking architectures (YOLO family, DETR-style models, ByteTrack/DeepSORT or similar).
- Proficiency in Python and PyTorch; working knowledge of C++ for performance-critical code.
- Practical experience optimising and deploying models on edge devices (TensorRT, ONNX Runtime, or similar).
- Solid grasp of classical computer vision and geometry: camera models, calibration, homography, coordinate frames and multi-view geometry.
- Experience building and managing datasets, including annotation workflows and quality control.
- Comfort with Linux, Docker and Git, and with working in offline or restricted environments.

Preferred Qualification

- Experience with aerial/drone imagery, thermal/IR imaging or remote sensing.
- Familiarity with ROS 2, PX4/ArduPilot, MAVLink or other robotics and autonomy stacks.
- Exposure to visual-inertial odometry, visual SLAM or GPS-denied navigation.
- Experience with radar signal processing, micro-Doppler analysis or multi-sensor tracking (Kalman filters, track-to-track fusion).
- Experience with video streaming and metadata standards (RTSP, WebRTC, KLV/MISB).
- Prior work with defence, aerospace, homeland security or other mission-critical systems.
- Publications, patents or open-source contributions in computer vision or robotics.

What We Value

- Ownership: you take a model from data collection to field deployment and stand behind its performance.
- Engineering honesty: you report what a system can and cannot do, including failure modes and limits.
- Field-first mindset: you’re as comfortable debugging at a test range as at a desk.
- Security discipline: you handle sensitive data, models and information carefully.

Eligibility and Conditions

- Indian citizenship is required, given the nature of defence programmes.
- You must clear background verification and comply with security and confidentiality requirements, including NDAs and handling of classified or sensitive information.
- You must be willing to travel to field sites, including remote and high-altitude locations, for trials.

📌 AI/ML and Computer Vision Engineer (Bengaluru)
🏢 Syntarix Tech
📍 Bengaluru