AI/ML Subject Matter Expert

Company Description Plane Pockets is a travel-tech platform focused on making travel accessible, affordable, and transparent for every kind of traveler. The company offers flight bookings through global GDS and NDC integrations, along with affordable hotels, cabs, and curated staycations. Plane Pockets provides personalized itineraries and student-friendly travel consulting, supported by a combination of AI and human assistance through its 24/7 assistant, PuNIMA. Guided by a mission to transform travel with clarity, ethics, and trust, Plane Pockets aims to become a global travel companion where technology and empathy work together. Team members contribute to creating stress-free travel planning experiences for customers worldwide.

Role Description 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. The expert will evaluate and integrate data sources, define model architectures, perform experimentation and validation, and oversee deployment in production environments. Daily tasks include creating technical documentation, mentoring team members, conducting code and model reviews, and ensuring AI solutions are ethical, explainable, and aligned with user experience goals. The role also involves staying updated on industry advances and proposing new AI capabilities that enhance the platform’s competitiveness and traveler satisfaction.

Qualifications

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