About Tagshop.ai
At Tagshop.ai, we’re building the next generation of AI-powered UGC video solutions for eCommerce and performance marketers. We leverage cutting-edge AI in Generative Media, NLP, and Computer Vision to create highly engaging, scalable, and personalized content for brands worldwide.
Role Overview
We are seeking a highly skilled and innovative AI Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI/ML solutions that solve complex business challenges and drive product innovation. This role requires hands-on expertise in data science, machine learning frameworks, and scalable AI architectures, along with strong collaboration skills to work across product and engineering teams.
Key Responsibilities
● Design, develop, and implement AI/ML models, algorithms, and systems for production-ready applications.
● Collaborate with product, engineering, and data teams to identify and implement AI-driven solutions.
● Build, train, evaluate, and deploy ML models into production environments.
● Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
● Research and apply state-of-the-art techniques in NLP, Computer Vision, and Generative AI.
● Continuously monitor and optimize model performance post-deployment.
● Ensure scalability, efficiency, and security of AI pipelines.
● Stay current with the latest advancements in AI/ML frameworks, tools, and techniques.
Required Skills & Qualifications
● Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
● 3–4 years of hands-on experience in AI/ML solution development.
● Proficiency with frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.
● Strong programming skills in Python (R or Java is a plus).
● Experience in working with large datasets, data wrangling, and SQL/NoSQL databases.
● Practical exposure to NLP, Computer Vision, Deep Learning, or Generative AI.
● Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is a plus.
● Strong problem-solving, analytical thinking, and communication skills.
