Data-Driven AI Innovation Specialist
6 days ago
AI Solutions EngineerAbout Our Team:We're a pioneering AI company transforming mobile product teams' understanding of their users. By processing millions of user feedback pieces and turning them into actionable insights using state-of-the-art language models, we help growth-stage companies protect app ratings, prioritize features, and respond to users at scale.Job Responsibilities:Design and optimize AI inference pipelines to maximize quality while minimizing cost.Develop and improve NLP capabilities, including sentiment analysis, topic extraction, and intent classification across multiple languages.Build and maintain batch processing systems for cost-efficient AI workloads without sacrificing user experience.Collaborate with product and engineering teams to translate business requirements into ML solutions that deliver measurable value.Implement evaluation frameworks and monitoring systems to ensure AI output quality and detect model drift.Research and prototype new AI/ML approaches to expand platform capabilities, including predictive analytics and anomaly detection.Optimize prompt engineering and model selection strategies to balance accuracy, latency, and cost.Contribute to architectural decisions around AI infrastructure and help establish ML engineering best practices.Requirements:Bachelor's degree in Computer Science or a related field.4+ years of experience in ML engineering, with demonstrated work on production NLP systems.Strong programming skills in Python and experience with ML frameworks and libraries.Experience with large language models (LLMs) including prompt engineering, fine-tuning approaches, and inference optimization.Hands-on experience with cloud-based AI/ML services and serverless architectures.Understanding of NLP fundamentals: text classification, named entity recognition, sentiment analysis, and text embeddings.Experience building data pipelines that feed ML systems at scale.Strong analytical skills and ability to work independently.What We Offer:Opportunity to work on cutting-edge AI projects.Collaborative and remote work environment.Professional development and growth opportunities.
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