AI/ML Subject Matter Expert

About the Role

The AI/ML Subject Matter Expert will be responsible for designing, developing, and optimizing AI and machine learning solutions that power Plane Pockets’ travel recommendation, personalization, and support systems. This part-time, remote role involves collaborating with product, engineering, and operations teams to translate business problems into scalable AI models, pipelines, and services.

Key Responsibilities

• Designing, developing, and optimizing AI and machine learning solutions.
• Collaborating with product, engineering, and operations teams.
• Translating business problems into scalable AI models, pipelines, and services.
• Evaluating and integrating data sources.
• Defining model architectures.
• Performing experimentation and validation.
• Overseeing deployment in production environments.
• Creating technical documentation.
• Mentoring team members.
• Conducting code and model reviews.
• Ensuring AI solutions are ethical, explainable, and aligned with user experience goals.
• Staying updated on industry advances.
• Proposing new AI capabilities that enhance the platform’s competitiveness and traveler satisfaction.

Requirements & Tech Stack

• Strong expertise in core AI/ML domains, including supervised and unsupervised learning, recommendation systems, NLP, and model evaluation techniques.
• Practical skills in programming and tooling, such as Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and data processing libraries.
• Data-related skills, including data modeling, feature engineering, exploratory data analysis, and working with structured and unstructured datasets.
• Experience with MLOps practices, including model deployment, monitoring, versioning, and collaboration with DevOps or cloud engineering teams.
• Strong analytical and problem-solving abilities, with the capacity to translate business requirements into robust technical solutions.
• Effective communication and collaboration skills, enabling clear documentation, stakeholder alignment, and knowledge-sharing across functions.
• Familiarity with travel-tech, e-commerce, or consumer-facing platforms; prior experience in these domains or with personalization engines is a plus.
• Familiarity with SLM, FSD and Prompt Engineering knowledge.

Qualifications

• Relevant educational background, such as a bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.