Senior AI Solutions Architect

• 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. 

• Deploy AI solutions on cloud (AWS, Azure, GCP) and on-premise infrastructure. 

Specific Industry Applications 

• 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). 

• Deep Learning & LLMs (transformers, reinforcement learning, generative AI for a range of text-based applications). 

• Predictive Analytics (time-series and demand forecasting, risk assessment). 

• Prior experience in high-uptime, mission-critical industries such as transportation, logistics, healthcare, defense, high energy physics research, or manufacturing. 

Change Management & Results Focus 

• Work directly with engineering teams to ensure smooth transition from lab to production. 

• 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. 

• Lead by influence; be a trusted authority. 

• Assist Modaxo’s Head of AI and the AI Program Manager to develop and refine financial models to quantify the impact of AI investments. 

• Align AI projects with strategic goals, ensuring measurable business outcomes. 

Required Skills & Experience 

Experience 

• 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. 

• Experience working on production grade products in a high-uptime, mission-critical environment with large-scale AI systems used by thousands of users. 

• Proven track record of translating AI research into deployable, financially viable solutions. 

• Prior experience working in logistics, transportation, transit, healthcare, defense, or manufacturing, or similar. 

Technical Skills 

• Working production experience in Python, and at least two of: C#, C/C++, Java, Go 

• Machine Learning & AI stacks, including: TensorFlow, PyTorch, Scikit-learn, Transformers, LLMs. 

• Customization: fine-tuning, RAG, other related methods. 

• 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 

• Data Engineering: Apache Kafka, Spark, Airflow, Parquet, SQL, NoSQL and graph databases. 

• Optimization & Scheduling: Constraint optimization (eg. LP), Reinforcement Learning. 

Education 

• 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.