Artificial Intelligence Engineer
2 weeks ago
AI Engineer Location: Chennai Experience: 2+ Years Employment Type: Full-time About Us: At RoshAi, we are at the forefront of AI-driven innovation, building cutting-edge autonomous systems and intelligent solutions for diverse industry applications. Our work spans autonomous mobility, deep learning, AI-driven automation, and advanced machine learning models that shape the future of intelligent technology. If you are passionate about AI and eager to solve real-world challenges, we invite you to join our team. Role Overview: As an AI Engineer, you will design, develop, and optimize AI/ML models to power our innovative solutions. You will work closely with cross-functional teams, leveraging AI to drive automation, improve efficiency, and create intelligent systems. Key Responsibilities: -Develop and implement AI/ML models for real-world applications in autonomous systems, robotics, and intelligent automation. -Design, train, and optimize deep learning architectures for computer vision, sensor fusion, and NLP tasks. Work with large-scale datasets to improve model accuracy and efficiency. -Deploy AI models into production using MLOps and cloud-based architectures. -Collaborate with software engineers, data scientists, and domain experts to integrate AI solutions into business processes. -Continuously improve and fine-tune models through real-world testing and iterative development. -Research and stay updated on the latest AI advancements, applying new methodologies to enhance existing solutions. Required Skills & Qualifications: -2+ years of experience in AI/ML development with hands-on expertise in deep learning, computer vision, NLP, or reinforcement learning. -Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, or JAX. -Strong knowledge of ML algorithms, model optimization, and neural network architectures. -Experience with data preprocessing, augmentation techniques, and handling large datasets. -Hands-on experience with cloud AI/ML platforms (AWS, GCP, Azure) and MLOps tools. -Familiarity with Docker, Kubernetes, and model deployment pipelines is a plus. -Strong problem-solving skills and ability to work in a fast-paced, agile environment. -A degree in Computer Science, AI, Machine Learning, Data Science, or a related field. Preferred Qualifications: -Knowledge in real-time decision-making systems and AI applications. -Experience in Robotics and Autonomous systems. -Contributions to open-source AI projects or research publications in AI/ML. Why Join Us? -Work on cutting-edge AI solutions that shape the future. -Collaborative and innovative work environment with opportunities to learn and grow. -Competitive salary, benefits, and career growth opportunities. -Hands-on experience with real-world AI applications in autonomous systems. If you're ready to push the boundaries of AI and work on impactful projects, we'd love to hear from you
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