Solutions Architect
Designs, builds, and deploys production‑grade AI/ML solutions that deliver measurable business impact, ensuring high availability, scalability, and maintainability in mission‑critical environments.
Job Summary:
Job Description:
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 optimizeproduction 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.
SpecificIndustry 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 & D
Posted June 25, 2026