Senior Ml / Ai Engineer

About Tritonium :

Tritonium is an AI-powered SaaS platform transforming how mobile product teams understand their users. We process millions of pieces of user feedback and turn them into actionable insights using state-of-the-art language models. Our platform helps growth-stage companies protect their app ratings, prioritize the right features, and respond to users at scale. As we expand globally, we're seeking a skilled Remote Senior ML / AI Engineer to optimize our AI systems and build the next generation of our intelligence capabilities.

Job Responsibilities :

• Design and optimize AI inference pipelines to maximize quality while minimizing cost at scale.
• Develop and improve natural language processing 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.

Minimum Requirements :

Preferred Skills :

Why Join Tritonium?

To Apply :

Interested candidates are invited to submit their resume, a cover letter describing a challenging ML problem you've solved, and any relevant project samples or publications to hello@tritonium.com with "Remote Senior ML / AI Engineer Application" as the subject line.

Tritonium is committed to diversity and inclusion and encourages applications from all qualified individuals, including those from diverse backgrounds and underrepresented groups.