Artificial Intelligence

Job Title: Artificial Intelligence (AI) Engineer

Experience: 4–6 years - Contract

Availability: Immediate joiners only

Job Description:

We are an innovative organization specializing in drone solutions and robotics. As a market leader in developing cutting-edge technologies, including Autonomous Ground Vehicles (AGVs), we address industry challenges and enhance operational efficiency. With our rapid expansion, we are seeking talented individuals to join our dynamic team and contribute to our mission of revolutionizing autonomous systems.

Role Overview

We are looking for a highly skilled Artificial Intelligence (AI) Engineer to design, develop, and implement AI-driven solutions for our drone and AGV systems. You will play a crucial role in advancing our AI capabilities, focusing on machine learning models, computer vision, and predictive analytics to enable smarter, more autonomous systems.

Key Responsibilities

• Develop AI Solutions: Design, train, and implement machine learning models, including deep learning, reinforcement learning, and predictive algorithms.
• Optimize Performance: Enhance AI-driven systems to improve navigation, object recognition, decision-making, and overall performance of drones and AGVs.
• Integrate AI with Robotics: Collaborate with hardware and embedded software teams to seamlessly integrate AI models into robotics systems.
• Data Management: Collect, preprocess, and analyze large datasets to develop robust AI solutions.
• Research & Innovation: Stay updated with the latest AI and robotics trends, tools, and methodologies.
• Testing & Validation: Conduct rigorous testing of AI systems in simulation and real-world environments.
• Documentation: Prepare comprehensive technical documentation, including model architectures, algorithms, and results.

Requirements

• Education: Bachelor's or Master's degree in Artificial Intelligence, Computer Science, Robotics, or related fields.
• Experience: 2–4 years in AI, machine learning, or robotics engineering.
• Technical Skills:
• Proficiency in TensorFlow, PyTorch, or similar ML frameworks.
• Strong understanding of machine learning algorithms, neural networks, and computer vision techniques.
• Experience in designing and training deep learning models for object detection, image recognition, and NLP.
• Knowledge of robotics middleware (ROS, OpenCV) and real-time systems integration.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) for AI deployment.
• Mathematical Foundation: Solid grounding in linear algebra, probability, and optimization techniques.