Wattmonk Technologies - Senior Artificial Intelligence Engineer - NLP/Computer Vision

<p><b>Job Summary :</b><br/><br/>We are seeking a highly skilled and motivated Senior AI Engineer to lead the design, development, and deployment of cutting-edge AI and machine learning models.

The ideal candidate will have a strong background in algorithms, deep learning, data engineering, and software development, with a passion for solving real-world problems through Responsibilities :</b><br/><br/>- Design and develop scalable AI and machine learning models to solve complex business challenges.<br/><br/>- Lead end-to-end model development: data collection, preprocessing, training, validation, deployment, and monitoring.<br/><br/>- Collaborate with cross-functional teams including data engineers, software developers, and <br/><br/>product managers.<br/><br/>- Optimize existing AI models for performance and accuracy.<br/><br/>- Stay updated with the latest research and trends in AI/ML and evaluate their applicability to <br/><br/>company products.<br/><br/>- Document processes, models, and code to ensure knowledge sharing and reproducibility.<br/><br/>- Mentor junior team members and contribute to a culture of innovation and Skills and Qualifications Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related <br/><br/>field.<br/><br/>- 10+ years of experience in AI/ML, data science, development, architectural or related roles.<br/><br/>- Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).<br/><br/>- Solid understanding of machine learning algorithms, data structures, and software engineering principles.<br/><br/>- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools.<br/><br/>- Hands-on experience with NLP, computer vision, or deep learning applications.<br/><br/>- Strong problem-solving and analytical skills.<br/><br/>- Excellent communication and collaboration abilities.<br/><br/>- Leadership and Team handing Qualifications PhD in AI/ML-related field.<br/><br/>- Experience deploying models in production environments using CI/CD pipelines.<br/><br/>- Contributions to open-source AI/ML projects or publications in top-tier journals/conferences</p> (ref:hirist.tech)