Senior AI/ML Engineer

📋 Description

• Build and operate real search infrastructure (e.g., Elasticsearch/OpenSearch, Vespa, vector
• Design multi-tenant, configurable ranking and recommendation systems for Nivoda's marketplace and
• Develop and improve Contextual Search and a planned conversational assistant using prompt design
• Build image-to-attribute and image-to-product-match pipelines using image embeddings.
• Design recovery paths and confirmation steps for high-stakes actions in probabilistic systems.
• Define and run search-specific evaluation (offline ranking metrics, interleaving experiments) to

🎯 Requirements

• 5-10 years of experience in information retrieval, applied ML, or related fields.
• Experience building or operating real search systems (Elasticsearch/OpenSearch, Vespa, pgvector
• Applied ML for ranking and recommendations, end to end (learning-to-rank, embedding-based
• Production experience with NLP and LLM applications (prompt design, retrieval-augmented approaches).
• Experience building and optimizing low-latency, real-time model-serving systems under production
• Specialized evaluation skills for search and ranking quality (offline ranking metrics, interleaving

🎁 Benefits

• Flexible working hours and remote-first culture
• Real opportunities for growth and learning
• Unlimited holiday allowance
• Chance to join during exponential expansion phase