Job Title

Job Summary: The Senior AI Solutions Architect will be responsible for identifying, developing, and deploying technical AI/ML solutions that drive measurable impact across Modaxos portfolio companies and have a positive effect on their clients and product end users. This role requires deep technical expertise in practical AI/ML, combined with a strong understanding of business-building, particularly financial drivers. Growth and development are an integral part of the Modaxo culture, and youll draw on your prior experience in building and mentoring technical teams (including third party partners) to help with future expansion plans. You will directly contribute to the technical implementation, growth and transformation of multiple companies within the Modaxo group, driving change across the global transportation vertical. Full-Stack AI/ML Development & Deployment Design and implement production-grade AI/ML solutions, covering data ingestion, model development, deployment, monitoring, and maintenance. Develop end-to-end MLOps pipelines, ensuring automation, reproducibility, and scalability. Advise on and help to optimize production AI models for real-world constraints, such as latency, resource usage, and regulatory compliance. You will apply AI/ML and other analysis and automation techniques to complex problem domains within the Modaxo group of companies, including: Computer Vision (object detection, image segmentation, anomaly detection, text extraction). Scheduling & Planning (resource allocation, constraint optimization, fleet routing). Predictive Analytics (time-series and demand forecasting, risk assessment). Conduct training seminars for both technical non-technical stakeholders on AI capabilities, methods, tools, and governance. Implement technical guardrails for responsible, safe and ethical use of AI/ML within Modaxo company products and experiments. Align AI projects with strategic goals, ensuring measurable business outcomes. 7+ years of progressively senior experience, deploying AI/ML and/or automation solutions, with at least 3 years working on production deployments of AI models and tools in live products with hundreds of users. ~ Technical Skills Working production experience in Python, and at least two of: C#, C/C++, Java, Go Machine Learning & AI stacks, including: MLOps & DevOps: MLflow, TFX, Kubeflow, Docker, Kubernetes, CI/CD terminology and pipelines in GIT, Jira Cloud & Infrastructure: AWS BedRock, SageMaker AI, Azure Machine Learning, GCP Vertex AI, Kubernetes, Terraform Experience with Twilio is an asset Data Engineering: Apache Kafka, Spark, Airflow, Parquet, SQL, NoSQL and graph databases. Minimum Bachelors in Computer Science, Statistics, Engineering, Physics or OR&IE, with a focus on AI, Machine Learning, Data Science, or related field. Masters or PhD preferred. Certifications in cloud AI/ML (AWS, Azure, GCP) are a strong asset.