About the Role: We are seeking a highly skilled and experienced Senior GenAI Developer with a strong foundation in AI-powered search algorithms to join our innovative team. In this role, you will play a crucial part in developing and deploying cutting-edge search solutions that leverage the power of Generative AI to deliver exceptional user experiences. Responsibilities: Design, develop, and deploy advanced search algorithms that utilize GenAI techniques, such as: Semantic Search: Develop and implement algorithms that understand user intent and retrieve relevant information based on meaning and context. Personalized Search: Create search experiences tailored to individual user preferences and search history. Conversational Search: Develop AI-powered search interfaces that enable users to interact with search engines using natural language. Multilingual Search: Develop search solutions that effectively handle queries and retrieve results across multiple languages. Research and implement state-of-the-art GenAI models, including LLMs, for search enhancement. Collaborate with data scientists, engineers, and product managers to define search requirements and evaluate search performance. Develop and maintain robust and scalable search infrastructure. Conduct A/B testing and analyze search results to continuously improve search quality and user experience. Mentor junior developers and provide technical guidance on search-related projects. Stay abreast of the latest advancements in search technology, AI/ML, and natural language processing. Qualifications: Education: Master's or Ph.D. in Computer Science, Information Retrieval, or a related field. Experience: 5+ years of hands-on experience in developing and deploying search algorithms in a professional setting, with a strong focus on AI/ML-powered search. Technical Skills: Expert proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Hugging Face Transformers). Strong understanding of information retrieval principles, indexing techniques, and ranking algorithms. Experience with NLP techniques such as text processing, sentiment analysis, and topic modeling. Experience with MLOps practices, including model training, deployment, monitoring, and maintenance. Proficiency with cloud platforms (AWS, Azure, GCP) and their search services. Other Skills: Excellent problem-solving, analytical, and communication skills. Strong leadership, mentorship, and team collaboration skills. Proven ability to work independently and as part of a high-performing team. Passion for innovation and a strong desire to contribute to cutting-edge search technology. Bonus Points: Experience with open-source search engines (e.g., Elasticsearch, Solr). Experience with building and deploying real-time search applications. Publications in top-tier search or AI/ML conferences or journals.
