Senior ML/AI Engineer

📋 Description

• Oversee the design, development, training, optimization, and implementation of AI/ML models and pipelines transitioning from prototype to production scale.

• Create cloud-based AI services utilizing LLMs and multimodal models through APIs such as Gemini, OpenAI, or similar for enhanced personalization, recommendation systems, natural language comprehension of travel inquiries, and feedback mechanisms.

• Set and uphold best practices including clean ML coding, experiment tracking, MLOps (model versioning, monitoring, A/B testing, drift detection), automated evaluation pipelines, cost-effective inference, and ethical AI considerations (bias reduction, privacy protection).

• Collaborate on defining features, determining data requirements, establishing success metrics, and iterating on designs.

• Tackle distinctive challenges within an AI-driven travel application: managing multimodal data (location, text, images), dealing with sparse/seasonal travel datasets, ensuring real-time adaptability, implementing offline/online hybrid inference, and achieving seamless integration with mobile clients and backend APIs.

• Guide and mentor prospective team members as we grow the AI engineering team and contribute to shaping our AI culture from the outset.

⛳️ Requirements

• Demonstrated professional experience in AI/ML engineering, specifically in developing and deploying production-grade AI systems for consumer mobile or web applications (experience in personalization, recommendation, or travel domains is advantageous).

• Extensive hands-on experience with on-device ML technologies: Core ML, TensorFlow Lite / LiteRT, ML Kit GenAI APIs, Gemini Nano integration, model optimization techniques (quantization, pruning), and hybrid on-device/cloud architectures.

• Practical knowledge of cloud-based AI/LLMs: fine-tuning, prompt engineering, RAG, tool invocation, API orchestration, and constructing feedback/improvement loops for personalization.

• Proven experience leading 0-to-1 AI projects or significant ML initiatives, with the ability to make foundational decisions regarding model selection, data strategy, and independent deployment.

• Strong product awareness: emphasis on user-centric metrics (engagement, conversion, satisfaction), low-latency inference, privacy-by-design, and robust evaluation in real-world contexts.

• Exceptional collaboration and communication skills, capable of clearly discussing AI trade-offs (accuracy vs. speed vs. cost) with both technical and non-technical stakeholders.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible working hours and remote work options.

• Opportunities for professional growth and development.

• A vibrant and inclusive company culture that encourages innovation.