93 Jobs in Kodungallur

Location: Aluva / Remote (Hybrid)

Organization: Canary Digital.ai

Canary Digital.ai is building WeatherGuard AI , a next-generation Marine & Aviation Intelligence platform that fuses rainfall histories, radar, satellite, oceanographic, and aviation datasets with AI-driven forecasting.

We are seeking a Lead Climatologist to anchor the climatology and atmospheric science foundation of this system. The role can be structured as full-time or on a consultancy/advisory basis , depending on availability and mutual agreement.

• Data & Modeling
• Curate and analyze climate datasets (ERA5, CMIP6, IMERG, HYCOM, CMEMS, buoy & radar archives).
• Develop methodologies for QPE (Quantitative Precip Estimation) and QCE (Quantitative Current Estimation) .
• Guide assimilation of rainfall, currents, waves, and tide datasets into unified models.
• Forecasting & Validation
• Collaborate on design of AI-driven rainfall and ocean current forecasts .
• Establish skill metrics and validation frameworks against gauges and station networks.
• Support integration of aviation climatology (turbulence, wind shear, visibility indices).
• Domain Leadership
• Mentor the AI/ML team on climatological best practices.
• Advise on extreme events (monsoons, cyclones, storm surges, turbulence corridors).
• Represent WeatherGuard AI in collaborations with IMD, INCOIS, IITM, ECMWF, and other climate centers.
• Impact & Translation
• Translate scientific outputs into actionable insights for Navy, Ports, Aviation, and Disaster Management.
• Shape dashboards, tiles, and alerts to reflect climatological reliability.

• PhD/Master’s in Climatology, Atmospheric Science, Meteorology, Oceanography, or related field.
• 10+ years research or applied experience in climatology / weather modeling / marine or aviation meteorology.
• Proven expertise with datasets like ERA5, IMERG, CMIP, HYCOM, WaveWatch III.
• Knowledge of assimilation techniques (Kalman filters, variational assimilation).
• Strong coding skills in Python (xarray, netCDF4, numpy, matplotlib); GIS a plus.
• Track record of publications or operational contributions (IMD, INCOIS, IITM, WMO, ECMWF, or equivalent).

• Open to Full-time or Consultancy (Advisory) arrangements.
• Consultancy engagement may include:
• Monthly/quarterly advisory sessions.
• Review of data assimilation & forecast models.
• Validation of AI-driven outputs against climatological standards.
• Mentorship of AI/data science team.
• Short-term project-based consulting also possible for specific pilots (e.g., Navy, Ports, ATC).

• Opportunity to shape India’s first of it's kind AI-powered Marine & Aviation Intelligence platform .
• Collaboration with a passionate cross-functional team (AI, oceanography, aviation).
• Advisory recognition for senior climatologists with 15–25 years experience (IMD, INCOIS, IITM, ECMWF).
• Flexible engagement models and competitive consultancy packages.

AI/ML Engineer (UAV Perception)

Position: AI/ML Engineer (3–4 roles)

Location: Aluva / Kochi, India (with field testing at UAV ranges)

Department: UAV AI Division, Canary Digital.ai

Role Overview

As an AI/ML Engineer (UAV Perception) , you will design, train, and deploy computer vision and sensor fusion models for Canary Digital’s UAV platforms. Your work will focus on object detection, anomaly detection, EO/IR fusion, and real-time inference on Jetson-class edge devices , enabling UAVs to autonomously detect threats, intrusions, and unusual occurrences. You will collaborate with UAV Systems Engineers and RF/Comms specialists to deliver an end-to-end AI-powered UAV solution for defense and security.

Key Responsibilities

• Develop and deploy real-time computer vision models (object/person/vehicle detection, tracking, re-ID) on Jetson devices.
• Build change detection and anomaly detection pipelines for perimeter security and patrol missions.
• Integrate EO (RGB) + IR (thermal) sensor fusion models for day/night operations.
• Optimize models for low-latency inference using TensorRT, DeepStream, CUDA.
• Create synthetic datasets for rare threat scenarios (weapons, intrusions, tampering).
• Collect, annotate, and retrain models from field UAV test data .
• Collaborate with RF engineers for friend/foe beacon + CV hybrid detection .
• Implement MLOps workflows : versioned datasets, model deployment pipelines, performance monitoring.
• Support Weather Guard AI integration for weather-aware perception tuning.

Required Skills & Experience

• 2–6 years of experience in AI/ML or Computer Vision engineering .
• Strong background in Deep Learning frameworks (PyTorch, TensorFlow).
• Proficiency in object detection/tracking architectures (YOLOv8, Detectron2, EfficientDet, SORT/DeepSORT).
• Familiarity with anomaly detection methods (autoencoders, clustering, unsupervised ML).
• Hands-on with NVIDIA Jetson platform (TensorRT, DeepStream, CUDA).
• Strong Python/C++ coding skills.
• Experience with dataset annotation, augmentation, and synthetic data generation .

Preferred Background

• Prior projects in autonomous systems, robotics, or defense AI .
• Experience with AirSim/Gazebo simulation data pipelines .
• Knowledge of multi-sensor fusion (EO/IR, lidar, radar).
• Familiarity with real-time constraints in embedded AI systems.

What We Offer

• Work on mission-critical UAV AI perception systems with national impact.
• Collaborate with UAV engineers, RF specialists, and defense partners.
• Access to Jetson dev kits, EO/IR sensors, UAV test flights .
• Competitive salary + performance-based incentives

UAV Systems Engineer

Position: UAV Systems Engineer (2–3 roles)

Location: Aluva / Kochi, India (with travel to test ranges and partner sites)

Department: UAV AI Division, Canary Digital.ai

Role Overview

As a UAV Systems Engineer , you will design, integrate, and test UAV hardware and flight systems for Canary Digital’s AI-powered defense and surveillance platforms. You will work hands-on with airframes, flight controllers (PX4/ArduPilot), payloads (EO/IR, Jetson compute), and mission planning software to ensure safe and reliable UAV operations. This is a technical execution role reporting to the Head of UAV Systems, with a strong focus on building and scaling real-world UAV capabilities.

Key Responsibilities

• Integrate and configure PX4/ArduPilot-based flight controllers (Pixhawk-class).
• Implement waypoint missions, geofencing, and failsafe behaviors .
• Tune UAV flight performance (PID tuning, EKF parameters).
• Integrate payloads (EO/IR gimbals, Jetson companion computers, sensors).
• Support simulation-based development (AirSim/Gazebo SITL) and transition to field testing.
• Conduct bench tests, tethered flights, and live flight trials with safety protocols.
• Assist AI/ML engineers in integrating computer vision and Weather Guard modules on-board UAVs.
• Troubleshoot UAV avionics, power systems, and telemetry links.
• Maintain detailed logs of flight tests, anomalies, and performance tuning .

Required Skills & Experience

• 3–7 years of experience in UAV/avionics/robotics engineering .
• Hands-on expertise with PX4/ArduPilot , QGroundControl/Mission Planner.
• Experience with UAV integration: airframes, propulsion, batteries, payloads .
• Strong grasp of flight dynamics, GNSS/IMU, sensor calibration .
• Familiarity with MAVLink protocol (mission upload, telemetry, command/control).
• Basic electronics knowledge (power distribution, soldering, ESCs, BECs).
• Passion for hands-on prototyping and flight testing.

Preferred Background

• Academic or project work in drone/autonomous systems .
• Participation in student UAV competitions, robotics clubs, or aerospace research labs .
• Prior work with defense UAV startups, DGCA BVLOS trials, or hobbyist drone building .

What We Offer

• Chance to work on cutting-edge UAV projects integrated with AI/ML systems.
• Hands-on exposure to EO/IR, Jetson AI payloads, and secure comms .
• Flight test experience in controlled ranges and real-world defense scenarios.
• Competitive salary + performance bonuses + growth into leadership roles.

RF/Comms Security Engineer

Position: RF/Comms Security Engineer (1–2 roles)   

Location: Aluva / Kochi, India (with travel to test ranges and defense partner sites)

Department: UAV AI Division, Canary Digital.ai

Role Overview

As an RF/Comms Security Engineer , you will design, implement, and secure communication systems for Canary Digital’s UAV platforms. You will be responsible for encrypted telemetry/video links , anti-jamming measures , and cryptographic friend-or-foe (IFF) beacon integration . This role bridges radio engineering, cybersecurity, and UAV operations , ensuring mission-critical UAV systems remain secure, resilient, and compliant with defense requirements.

Key Responsibilities

• Design and implement secure UAV communication links (telemetry, command/control, video streaming).
• Integrate and test AES-256 or military-grade encryption on UAV links.
• Develop and deploy crypto beacon/IFF protocols for friend-or-foe identification.
• Build RF anomaly detection modules for GNSS spoofing/jamming awareness.
• Collaborate with UAV Systems Engineers on comms integration with PX4/ArduPilot .
• Support SOC/VMS integration by securing APIs, alert pipelines, and metadata streams.
• Conduct RF field tests (range, resilience, interference).
• Define key management systems for mission-based crypto rotation.
• Document security architectures, risk assessments, and compliance requirements .

Required Skills & Experience

• 4–8 years of experience in RF engineering / comms security / telecom / defense comms .
• Strong expertise in radio protocols (LoRa, UWB, SDR, COFDM, LTE/5G) .
• Knowledge of encryption standards (AES, ECC, PKI) and secure key distribution.
• Experience with GNSS systems and spoofing/jamming detection .
• Familiarity with UAV telemetry protocols (MAVLink, RTSP/ONVIF for video).
• Hands-on with SDR platforms (HackRF, USRP, LimeSDR) for prototyping.
• Strong debugging skills in RF/noisy environments.

Preferred Background

• Prior work in defense, aerospace, or telecom secure comms projects .
• Familiarity with IFF Mode 4/5 concepts or tactical datalinks.
• Experience in penetration testing of wireless systems .
• Contributions to open-source RF/security projects (GNSS-SDR, gr-gsm, etc.).

What We Offer

• Chance to develop next-gen secure comms for UAV AI systems .
• Work on crypto IFF systems integrated with AI/ML payloads.
• Collaborate with cross-disciplinary experts (AI, UAV, defense).
• Competitive salary + incentives + ESOPs for strategic roles.

AI/ML Engineer (UAV Perception)

Position: AI/ML Engineer (3–4 roles)

Location: Aluva / Kochi, India (with field testing at UAV ranges)

Department: UAV AI Division, Canary Digital.ai

Role Overview

As an AI/ML Engineer (UAV Perception) , you will design, train, and deploy computer vision and sensor fusion models for Canary Digital’s UAV platforms. Your work will focus on object detection, anomaly detection, EO/IR fusion, and real-time inference on Jetson-class edge devices , enabling UAVs to autonomously detect threats, intrusions, and unusual occurrences. You will collaborate with UAV Systems Engineers and RF/Comms specialists to deliver an end-to-end AI-powered UAV solution for defense and security.

Key Responsibilities

• Develop and deploy real-time computer vision models (object/person/vehicle detection, tracking, re-ID) on Jetson devices.
• Build change detection and anomaly detection pipelines for perimeter security and patrol missions.
• Integrate EO (RGB) + IR (thermal) sensor fusion models for day/night operations.
• Optimize models for low-latency inference using TensorRT, DeepStream, CUDA.
• Create synthetic datasets for rare threat scenarios (weapons, intrusions, tampering).
• Collect, annotate, and retrain models from field UAV test data .
• Collaborate with RF engineers for friend/foe beacon + CV hybrid detection .
• Implement MLOps workflows : versioned datasets, model deployment pipelines, performance monitoring.
• Support Weather Guard AI integration for weather-aware perception tuning.

Required Skills & Experience

• 2–6 years of experience in AI/ML or Computer Vision engineering .
• Strong background in Deep Learning frameworks (PyTorch, TensorFlow).
• Proficiency in object detection/tracking architectures (YOLOv8, Detectron2, EfficientDet, SORT/DeepSORT).
• Familiarity with anomaly detection methods (autoencoders, clustering, unsupervised ML).
• Hands-on with NVIDIA Jetson platform (TensorRT, DeepStream, CUDA).
• Strong Python/C++ coding skills.
• Experience with dataset annotation, augmentation, and synthetic data generation .

Preferred Background

• Prior projects in autonomous systems, robotics, or defense AI .
• Experience with AirSim/Gazebo simulation data pipelines .
• Knowledge of multi-sensor fusion (EO/IR, lidar, radar).
• Familiarity with real-time constraints in embedded AI systems.

What We Offer

• Work on mission-critical UAV AI perception systems with national impact.
• Collaborate with UAV engineers, RF specialists, and defense partners.
• Access to Jetson dev kits, EO/IR sensors, UAV test flights .
• Competitive salary + performance-based incentives

Location: Aluva / Remote (Hybrid)

Organization: Canary Digital.ai

Canary Digital.ai is building WeatherGuard AI, a next-generation Marine & Aviation Intelligence platform that fuses rainfall histories, radar, satellite, oceanographic, and aviation datasets with AI-driven forecasting.

We are seeking a Lead Climatologist to anchor the climatology and atmospheric science foundation of this system. The role can be structured as full-time or on a consultancy/advisory basis, depending on availability and mutual agreement.

• Data & Modeling
• Curate and analyze climate datasets (ERA5, CMIP6, IMERG, HYCOM, CMEMS, buoy & radar archives).
• Develop methodologies for QPE (Quantitative Precip Estimation) and QCE (Quantitative Current Estimation).
• Guide assimilation of rainfall, currents, waves, and tide datasets into unified models.
• Forecasting & Validation
• Collaborate on design of AI-driven rainfall and ocean current forecasts.
• Establish skill metrics and validation frameworks against gauges and station networks.
• Support integration of aviation climatology (turbulence, wind shear, visibility indices).
• Domain Leadership
• Mentor the AI/ML team on climatological best practices.
• Advise on extreme events (monsoons, cyclones, storm surges, turbulence corridors).
• Represent WeatherGuard AI in collaborations with IMD, INCOIS, IITM, ECMWF, and other climate centers.
• Impact & Translation
• Translate scientific outputs into actionable insights for Navy, Ports, Aviation, and Disaster Management.
• Shape dashboards, tiles, and alerts to reflect climatological reliability.

• PhD/Master’s in Climatology, Atmospheric Science, Meteorology, Oceanography, or related field.
• 10+ years research or applied experience in climatology / weather modeling / marine or aviation meteorology.
• Proven expertise with datasets like ERA5, IMERG, CMIP, HYCOM, WaveWatch III.
• Knowledge of assimilation techniques (Kalman filters, variational assimilation).
• Strong coding skills in Python (xarray, netCDF4, numpy, matplotlib); GIS a plus.
• Track record of publications or operational contributions (IMD, INCOIS, IITM, WMO, ECMWF, or equivalent).

• Open to Full-time or Consultancy (Advisory) arrangements.
• Consultancy engagement may include:
• Monthly/quarterly advisory sessions.
• Review of data assimilation & forecast models.
• Validation of AI-driven outputs against climatological standards.
• Mentorship of AI/data science team.
• Short-term project-based consulting also possible for specific pilots (e.g., Navy, Ports, ATC).

• Opportunity to shape India’s first of it's kind AI-powered Marine & Aviation Intelligence platform.
• Collaboration with a passionate cross-functional team (AI, oceanography, aviation).
• Advisory recognition for senior climatologists with 15–25 years experience (IMD, INCOIS, IITM, ECMWF).
• Flexible engagement models and competitive consultancy packages.

Position: Sales Executive

Location: Aluva

CTC: Up to ₹3.15 LPA + Incentives

Key Responsibilities:

• Generate new business through field visits.
• Maintain customer relationships and provide service support.
• Meet monthly sales targets and ensure growth.
• Share sales reports with the manager.

Requirements:

• Minimum 1 year of experience in field sales (BFSI/FMCG/Telecom preferred).
• Strong local network in Alua.
• Good communication & convincing skills.
• Immediate joiners preferred.

How to Apply :: Priyansi M. |

AI/ML Engineer (UAV Perception)

Position: AI/ML Engineer (3–4 roles)

Location: Aluva / Kochi, India (with field testing at UAV ranges)

Department: UAV AI Division, Canary Digital.ai

Role Overview

As an AI/ML Engineer (UAV Perception), you will design, train, and deploy computer vision and sensor fusion models for Canary Digital’s UAV platforms. Your work will focus on object detection, anomaly detection, EO/IR fusion, and real-time inference on Jetson-class edge devices, enabling UAVs to autonomously detect threats, intrusions, and unusual occurrences. You will collaborate with UAV Systems Engineers and RF/Comms specialists to deliver an end-to-end AI-powered UAV solution for defense and security.

Key Responsibilities

• Develop and deploy real-time computer vision models (object/person/vehicle detection, tracking, re-ID) on Jetson devices.
• Build change detection and anomaly detection pipelines for perimeter security and patrol missions.
• Integrate EO (RGB) + IR (thermal) sensor fusion models for day/night operations.
• Optimize models for low-latency inference using TensorRT, DeepStream, CUDA.
• Create synthetic datasets for rare threat scenarios (weapons, intrusions, tampering).
• Collect, annotate, and retrain models from field UAV test data.
• Collaborate with RF engineers for friend/foe beacon + CV hybrid detection.
• Implement MLOps workflows: versioned datasets, model deployment pipelines, performance monitoring.
• Support Weather Guard AI integration for weather-aware perception tuning.

Required Skills & Experience

• 2–6 years of experience in AI/ML or Computer Vision engineering.
• Strong background in Deep Learning frameworks (PyTorch, TensorFlow).
• Proficiency in object detection/tracking architectures (YOLOv8, Detectron2, EfficientDet, SORT/DeepSORT).
• Familiarity with anomaly detection methods (autoencoders, clustering, unsupervised ML).
• Hands-on with NVIDIA Jetson platform (TensorRT, DeepStream, CUDA).
• Strong Python/C++ coding skills.
• Experience with dataset annotation, augmentation, and synthetic data generation.

Preferred Background

• Prior projects in autonomous systems, robotics, or defense AI.
• Experience with AirSim/Gazebo simulation data pipelines.
• Knowledge of multi-sensor fusion (EO/IR, lidar, radar).
• Familiarity with real-time constraints in embedded AI systems.

What We Offer

• Work on mission-critical UAV AI perception systems with national impact.
• Collaborate with UAV engineers, RF specialists, and defense partners.
• Access to Jetson dev kits, EO/IR sensors, UAV test flights.
• Competitive salary + performance-based incentives