What we’re looking for
We are looking for an experienced and passionate AI Engineer to join our team and work on cutting-edge projects that aim to transform the way our users engage with products on our platform. You will be a key player in developing and enhancing AI-powered solutions that elevate user experience and drive innovation across our marketplace.
You’ll be working on two major projects:
Chatbot LLM (Large Language Model): Develop AI-powered chatbots to help users discover products more effectively and assist sellers in learning about the products they are selling.
Product Recommendation System: Build intelligent recommendation engines to suggest personalized products to users on our eCommerce platform, improving user satisfaction and sales performance.
This is a great opportunity for someone who is passionate about leveraging AI in real-world applications and has the technical expertise to make an impact.
Responsibilities
Chatbot LLM Development:
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Design, develop, and maintain advanced chatbot systems powered by LLMs to enhance product discovery and seller learning in the marketplace.
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Work with cross-functional teams (product, engineering, and UX) to integrate AI-driven chatbot solutions with the eCommerce platform.
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Fine-tune and optimize existing language models for better contextual understanding and user interaction.
Product Recommendation System:
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Build and optimize recommendation algorithms to provide personalized product suggestions based on user behavior, preferences, and browsing patterns.
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Work on data preprocessing, feature engineering, and model development for recommendation engines.
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Continuously monitor, test, and refine algorithms to ensure they remain effective and scalable.
Research and Development:
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Stay up-to-date with the latest advancements in AI, ML, and NLP technologies to apply state-of-the-art methods to our projects.
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Conduct research on new techniques, algorithms, and frameworks to improve the performance and scalability of AI systems.
Collaboration and Communication:
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Collaborate with product managers, data scientists, and other engineers to ensure seamless integration of AI features into the platform.
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Provide clear communication and presentations of AI model outcomes, challenges, and results to stakeholders.
Performance Optimization:
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Monitor the performance of AI models in production and fine-tune them for scalability and efficiency.
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Implement best practices for deploying AI systems at scale.
Required Skills and Experience
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field.
Experience:
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At least 3-5 years of hands-on experience in AI, Machine Learning, or Natural Language Processing (NLP).
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Experience building and deploying AI models for real-world applications.
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Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Keras.
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Solid understanding of NLP (Natural Language Processing) techniques, especially in the context of LLMs (GPT, BERT, etc.).
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Experience with recommendation systems and collaborative filtering techniques.
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Expertise in programming languages like Python, Java, or Scala.
Nice to Have:
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Experience with deploying and maintaining large-scale AI models in production environments.
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Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
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Familiarity with big data technologies (e.g., Hadoop, Spark) for handling large-scale datasets.
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Familiarity with reinforcement learning for chatbot development or product recommendations.
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Knowledge of APIs and working with back-end services to integrate AI models
Why You’ll Love Working Here
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Engaging and challenging work environment, focusing on the exciting domain of eCommerce.
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Hybrid working model with flexible hours.
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Employee Stock Ownership Program (ESOP): Enjoy the opportunity to be a company stakeholder through our ESOP, fostering a sense of shared success and ownership.
About Us
Droppii is on a mission to become the world’s leading e-commerce platform for consulting products – a pioneer in creating standards and values for consulting products.
