AI Engineer
<h3><strong>Overview</strong></h3><p>We are seeking a skilled <strong>AI Engineer</strong> to design, develop, and deploy artificial intelligence solutions that enhance product capabilities and solve complex business problems.</p><hr><h3><strong>Key Responsibilities</strong></h3><ul><li><p>Design, build, and deploy <strong>machine learning and deep learning models</strong>.</p></li><li><p>Develop scalable <strong>AI pipelines</strong>, from data collection to model deployment.</p></li><li><p>Work closely with data scientists, product teams, and engineers to integrate AI into applications.</p></li><li><p>Optimize model performance, accuracy, and inference speed.</p></li><li><p>Implement <strong>LLM-based</strong> applications, prompt engineering, fine-tuning, and evaluation.</p></li><li><p>Use tools like TensorFlow, PyTorch, and Hugging Face for model building.</p></li><li><p>Develop APIs and microservices to serve models in production.</p></li><li><p>Monitor model performance and retrain or improve models as needed.</p></li><li><p>Stay updated with the latest AI research, trends, and tools.</p></li></ul><hr><h3><strong>Required Skills & Qualifications</strong></h3><ul><li><p>Bachelor’s or Master’s degree in <strong>Computer Science, AI, Data Science, Engineering</strong>, or related field.</p></li><li><p>Strong knowledge of <strong>Python</strong>, data structures, and algorithms.</p></li><li><p>Hands-on experience with <strong>ML/DL frameworks</strong> (TensorFlow, PyTorch).</p></li><li><p>Experience in <strong>NLP, computer vision</strong>, or generative AI.</p></li><li><p>Familiarity with <strong>cloud platforms</strong> (AWS, GCP, Azure).</p></li><li><p>Experience with <strong>MLOps</strong>, Docker, Kubernetes, and CI/CD pipelines.</p></li><li><p>Strong understanding of <strong>data preprocessing</strong> and dataset management.</p></li><li><p>Knowledge of vector databases, embeddings, and RAG systems (optional but preferred).</p></li></ul><p></p>