Описание:
In AECOM’s AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed and engineered; reducing waste, cutting CO₂, and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact.
Задачи:
Lead the design and development of advanced machine learning models that deliver measurable impact across engineering and infrastructure applications. Own the end-to-end modelling lifecycle – from problem formulation and feature strategy through experimentation, validation, deployment, and iteration. Tackle complex, ambiguous problems and translate them into scalable ML solutions. Design robust experimentation frameworks and evaluation methodologies that measure real-world model performance. Diagnose model failure modes, evaluate performance trade-offs, and continuously improve models after deployment. Collaborate closely with MLOps and software engineering teams to productionize models while maintaining a strong focus on modelling quality and performance. Partner with product managers, engineers, and domain experts to embed AI capabilities into our SaaS platform. Provide technical leadership across ML initiatives, mentoring other engineers and helping shape modelling approaches, experimentation standards, and technical direction.
Требования:
- Proven experience developing and deploying ML models in production settings
- Master’s or PhD in Engineering, Computer Science, Applied Mathematics, Data Science, Operations Research, or a related field
- Strong expertise in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Demonstrated depth in model design, optimization, and evaluation beyond standard off-the-shelf approaches
- Strong intuition for model failure modes, generalization, and real-world performance trade-offs
- Experience owning machine learning initiatives end-to-end, from problem definition through deployment and iteration.
- Proven ability to independently scope, execute, and deliver high-impact ML initiatives
- Clear communicator who can explain complex modelling decisions and trade-offs to diverse stakeholders.
- Будет плюсом: Experience applying machine learning to engineering-heavy or physical-world domains such as mechanical engineering, construction, transportation, HVAC, energy systems, or robotics; Background in optimisation, simulation, scientific machine learning, physics-informed learning, or digital twins; Experience with time-series forecasting, computer vision, sensor data, or other complex engineering datasets; Track record of mentoring or technically leading ML initiatives
Условия:
Work on real-world problems where AI creates measurable impact. Be part of a team where your work matters, and your ideas become real. Collaborate with sharp, driven colleagues in a culture of trust, ownership, and high standards. Contribute to making the built environment smarter and more sustainable. AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.
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