FairAds AI is at the forefront of revolutionizing advertising. We're seeking a highly motivated Machine Learning Engineer / Deep Learning Engineer Intern to join our pioneering team for an immediate start in Mumbai, Maharashtra, India. This is a paid, in-person position . You'll dive deep into developing and deploying, DPDP-compliant ML/DL models for real-time analytics. This is a unique opportunity to work on impactful projects involving Computer Vision, real-time data processing, and privacy-preserving AI. What You'll Help Build & Responsibilities * Develop & Implement ML/DL Models: Design, train, and fine-tune models like YOLO, DeepSORT, and DeepFace for tasks such as impression counting, dwell time analysis, and anonymized demographic analysis. * Advanced Computer Vision Tasks: Apply your OpenCV and CV knowledge for object detection, tracking, pose estimation, and image segmentation on real-world video streams. * Data Preprocessing & Management: Handle raw camera data, including cleaning, annotation, and implementing anonymization techniques (e.g., blurring, feature embeddings) to ensure DPDP Act compliance. Manage datasets using tools like DVC or cloud storage. * Edge Computing & Deployment: Optimize and deploy models on edge devices (e.g., NVIDIA Jetson, Raspberry Pi), managing real-time processing pipelines and considering power/thermal constraints. * Real-Time Analytics: Design streaming data pipelines for video feeds and optimize inference speed (e.g., using TensorRT) to deliver low-latency KPIs. * Privacy by Design: Actively contribute to building privacy-preserving ML pipelines, understanding DPDP Act principles (data minimization, consent, purpose limitation) and implementing secure data handling. * Containerization & CI/CD: Utilize Docker to package and deploy models consistently. Contribute to CI/CD pipelines for automated testing and deployment. Core Technical Skills We're Looking For * Python Programming: Proficiency in Python for ML/DL development, including libraries like PyTorch, TensorFlow, OpenCV, NumPy, Pandas, and Matplotlib. Ability to write modular, reusable code. * Machine Learning & Deep Learning: Strong understanding of supervised/unsupervised learning, neural networks (CNNs), architectures (YOLO, ResNet, ViT), transfer learning, loss functions, optimizers, and regularization. * Computer Vision: Expertise with OpenCV for image/video processing, object detection, tracking, and pose estimation. Experience handling real-time video streams. * Data Preprocessing: Skills in data cleaning, transformation, annotation, and implementing anonymization techniques. Key Domain-Specific & Deployment Skills Needed * Edge Computing: Experience or strong interest in optimizing models (pruning, quantization) for resource-constrained edge hardware (NVIDIA Jetson, Raspberry Pi) and managing real-time edge processing. * Real-Time Analytics: Ability to design streaming data pipelines and optimize for low-latency inference. * Docker & Containerization: Writing Dockerfiles and managing containers for ML model deployment. * Edge Device Deployment: Configuring edge hardware (CUDA, cuDNN), managing cross-compilation, monitoring, and potentially OTA updates. * Version Control & CI/CD (Git, GitHub Actions/Jenkins): Experience with versioning code and models (MLflow, DVC) and automation. * Cloud Integration (Optional but valued): Familiarity with AWS, Azure, or GCP for aggregating anonymized KPIs or model training. API development (Flask/FastAPI) is a plus. Soft Skills for Success * Problem-Solving & Analytical Thinking: Ability to tackle complex challenges in model performance. * Attention to Detail: Meticulous approach to data handling, model accuracy, and compliance requirements. * Pro Vibe Coder: You're someone who can skillfully navigate and debug code, especially code that might have been initially generated or assisted by AI, ensuring its robustness and efficiency. What We Offer * Pioneering Projects: Work on groundbreaking analytics solutions using advanced AI and edge computing. * Hands-on Experience: Gain invaluable experience with the full lifecycle of ML models – from conception to deployment on edge devices. * Mentorship: Learn from experienced professionals in AI, Computer Vision, and privacy-preserving technologies. * Impactful Contribution: Directly contribute to building a more intelligent and compliant ecosystem. Show more Show less
FairAds AI is revolutionizing advertising through next-gen AI solutions. We're seeking a highly motivated Software Engineering Intern to join our pioneering team for an immediate start in Mumbai, Maharashtra , India. This is a paid, in-person position . You'll be instrumental in developing and scaling the software that powers our analytics platform, collaborating closely with a passionate team to deliver high-quality, real-world applications. What You'll Achieve & Contribute To: Full-Stack Development : Design, develop, test, and deploy robust features across our platform, utilizing TypeScript, React, and Next.js for front-end experiences, and Node.js with Express for back-end services. API Design & Integration : Build and maintain clean, efficient, and scalable APIs, ensuring seamless communication between services. Data Engineering & Management : Work with MongoDB and SQL databases to optimize data storage and retrieval. Gain exposure to real-time data processing with Kafka . System Performance & Scalability : Actively contribute to enhancing the performance, reliability, and scalability of our core infrastructure. Code Excellence & Best Practices : Champion high-quality, maintainable code written in TypeScript and other relevant languages. Problem Solving & Optimization : Proactively identify, diagnose, and resolve complex software issues, ensuring system stability and user satisfaction. Core Technical Proficiencies We're Seeking: Programming Languages : Strong proficiency in TypeScript and Python . Front-End Technologies : Understanding or hands-on experience with React and Next.js . Back-End Technologies : Understanding or hands-on experience with Express.js . Database Technologies : Experience or foundational knowledge of MongoDB (NoSQL) and SQL databases. Fundamental CS Concepts : Strong grasp of data structures, algorithms, and software design principles. Development Environment : Comfortable working in a Linux/Unix environment. Skills That Will Help You Excel: Version Control : Proficient with Git and modern branching strategies. Containerization : Experience or a keen interest in Docker and its ecosystem. Event Streaming : Exposure to or curiosity about Kafka or similar messaging systems. Testing Methodologies : Familiarity with unit, integration, and end-to-end testing (e.g., Jest, React Testing Library). Agile Mindset : Ability to thrive in an agile, iterative development environment. Cloud Exposure (Bonus) : Familiarity with cloud platforms like AWS, Azure, or GCP. What We Value in Our Team Members: Analytical & Solution-Oriented : A strong aptitude for dissecting complex problems and architecting effective solutions. Precision & Quality Focus : A meticulous approach to development, ensuring accuracy and high standards in all deliverables. Effective Communication : The ability to articulate technical ideas and collaborate clearly with diverse teams. Collaborative Spirit & Eagerness to Learn : A proactive team player with a passion for continuous learning and skill development. Pro Vibe Coder: You possess the unique ability to adeptly understand, debug, and enhance code, including complex or AI-assisted code, ensuring it is robust, efficient, and production-ready. Why FairAds AI: Build What Matters : Directly contribute to innovative products that are shaping the future of advertising analytics. Your code will have a visible impact. Accelerated Learning Curve : Gain intensive, hands-on experience with a modern technology stack including TypeScript, React, Node.js, Kafka, MongoDB, and Docker in a real-world setting. Dedicated Mentorship : Receive guidance and support from experienced engineers. Culture of Innovation : Be part of a forward-thinking, agile team where your ideas are valued, and you can influence the technological direction. Startup Agility, Professional Standards : Experience the dynamism and impact of a startup environment combined with a commitment to engineering excellence. Show more Show less