Triumph Edge is a leading Indian technology firm dedicated to providing cutting-edge AI-Powered Image Analysis (AI-PIA) solutions for India's defense sector. In alignment with the "Atmanirbhar Bharat" and "Make in India" initiatives, we are committed to building indigenously developed, state-of-the-art AI systems for Intelligence, Surveillance, and Reconnaissance (ISR). Our mission is to empower our armed forces with efficient, secure, and actionable intelligence, contributing directly to national security.
Job Summary:
As an AI/ML Engineer / Data Scientist at Triumph Edge, you will be an integral part of our R&D team, responsible for designing, developing, and deploying advanced AI-powered image analysis systems for defence applications. You will have a direct impact on building and optimizing models that can analyse large-scale visual datasets, detect threats, and enhance situational awareness. We are seeking individuals passionate about national security and capable of solving complex challenges using cutting-edge AI technologies.
Key Responsibilities and Duties:
AI/ML Model Development:
Design, train, and evaluate state-of-the-art Deep Learning and Computer Vision models for critical defence requirements (e.g., object detection, classification, tracking, change detection, anomaly detection, facial recognition).
Work extensively with various neural network architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models.
Continuously improve model performance, accuracy, and efficiency across diverse operational environments (e.g., varying lighting, weather conditions, terrain types).
Explore and integrate Generative AI (GenAI) models where applicable for tasks like synthetic data generation or image enhancement.
Data Engineering & Preprocessing:
Collect, clean, label, and preprocess large-scale image and video datasets (including satellite imagery, drone footage, and ground sensor data).
Develop and maintain robust data pipelines for efficient data ingestion, transformation, and preparation for AI model training and evaluation.
Ensure the quality, integrity, and security of sensitive defense-related data.
Algorithm Optimisation & Deployment:
Optimize AI models for efficient deployment on resource-constrained edge devices (e.g., drones, ground sensors) and high-performance computing (HPC) environments for real-time inference.
Implement techniques such as model compression, quantization, and inference optimization to enhance performance on target hardware.
Monitor and maintain the performance of deployed AI models in production environments.
Research and Innovation:
Stay abreast of the latest research trends and advancements in Machine Learning, Deep Learning, and Computer Vision, particularly those relevant to the defense domain.
Conduct experimental research and develop innovative solutions to address complex, real-world challenges in defense intelligence.
Contribute to intellectual property generation, including patents and research publications.
Team Collaboration:
Collaborate effectively with cross-functional teams, including Software Engineers, Data Engineers, DevOps Engineers, and Defence Domain Experts, to integrate AI solutions into larger systems.
Clearly communicate complex technical concepts, findings, and recommendations to both technical and non-technical stakeholders.
Participate in code reviews, knowledge sharing sessions, and contribute to a collaborative R&D culture.
Security & Compliance:
Adhere to stringent cybersecurity protocols and secure coding practices for all AI model development and deployment.
Ensure compliance with relevant Indian defense regulations and data security standards.
Required Qualifications & Skills:
Education:
Master's degree (M.Tech/MS) or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field.
Experience:
[Specify preferred years of experience, e.g., 2+ years for Mid-level, 5+ years for Senior-level] of hands-on experience in AI/ML model development, specifically in Computer Vision.
Proven experience in building and deploying Deep Learning models for real-world applications.
Technical Proficiency:
Programming Languages:
Expert-level proficiency in Python, with extensive experience using scientific computing libraries (NumPy, Pandas, Scikit-learn). Proficiency in C++ is a significant advantage for high-performance applications.
Deep Learning Frameworks:
Strong hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch).
Computer Vision Libraries/Techniques:
In-depth knowledge and practical experience with OpenCV, and familiarity with various computer vision algorithms (e.g., object detection models like YOLO, Faster R-CNN; segmentation, tracking algorithms).
Data Management:
Experience with data cleaning, feature engineering, and working with large datasets. Familiarity with SQL and/or NoSQL databases is a plus.
Cloud Platforms:
Experience with cloud computing platforms (AWS, Azure, or GCP) for AI model training and deployment is desirable.
Problem-Solving:
Excellent analytical and problem-solving skills, with a strong ability to translate complex defence requirements into effective AI solutions.
Learning Agility:
Eagerness to learn new technologies, adapt to evolving research trends, and continuously improve technical skills.
Communication:
Strong verbal and written communication skills, capable of articulating technical concepts clearly.
Preferred Qualifications (Bonus Points):
Prior experience working on projects related to the defense sector, aerospace, or intelligence agencies.
Familiarity with specific Indian defence regulations or standards.
Experience with MLOps practices for deploying and managing AI models in production.
Knowledge of explainable AI (XAI) techniques.
Publications in top-tier AI/ML/Computer Vision conferences or journals.
Experience with GPU optimisation (CUDA programming).
Why Join Triumph Edge?
Impactful Work:
Contribute directly to strengthening India's national security and the "Atmanirbhar Bharat" initiative.
Cutting-Edge Technology:
Work on highly advanced AI and Deep Learning problems with real-world applications in defence.
Innovation Culture:
Be part of a dynamic R&D team that fosters creativity, continuous learning, and groundbreaking research.
Growth Opportunities:
Grow your career in a rapidly expanding sector with significant opportunities for professional development.
Collaborative Environment:
Work alongside brilliant minds, including experienced AI researchers, engineers, and defence domain experts.
To Apply:
Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and interest in this role.