Job Description

We're AtkinsRéalis, a world class Engineering Services and Nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. Created by the integration of long-standing organizations dating back to 1911, we are a world-leading professional services company dedicated to engineering a better future for our planet and its people. We deploy global capabilities locally to our clients and deliver unique end-to-end services across the whole life cycle of an asset including consulting, advisory & environmental services, intelligent networks & cybersecurity, design & engineering, procurement, project & construction management, operations & maintenance, decommissioning and capital. The breadth and depth of our capabilities are delivered to clients in key strategic sectors.

News and information are available at www.atkinsrealis.com or follow us on LinkedIn.

Our teams take great pride in delivering some of the world's most prestigious projects. This success is driven by our talented people, whose diverse perspectives, expertise, and knowledge set us apart. Join us and you'll be part of our genuinely collaborative environment, where everyone is supported to make the most of their talents and expertise.

When it comes to work-life balance, AtkinsRéalis is a great place to be. So, let's discuss how our flexible and remote working policies can support your priorities. We're passionate about are work while valuing each other equally. So, ask us about some of our recent pledges for Women's Equality and being a 'Disability Confident' and 'Inclusive Employer'.

Key Responsibilities:

• Data Collection & Pipeline Development:
  
  • Collect and curate a large-scale dataset of urban, architectural, and interior design images, including floor plans, room scenes, building exteriors, and construction details.
  • Develop robust data pipelines for preprocessing (resizing, labeling styles or room types, tagging materials, etc.) to ensure high-quality, domain-relevant training data.
  • Maintain data versioning and augmentation pipelines to boost model robustness and ensure traceability.
• Model Training & Optimization:
  
  • Lead the implementation of the end-to-end training pipeline, including GPU setup (cloud or on-premise), training workflows, and runtime optimization.
  • Train and fine-tune generative models and computer vision systems, monitoring performance and adjusting parameters for maximum quality and efficiency.
• Deployment & MLOps:
  
  • Deploy trained models into production environments (cloud APIs or integrations within design software).
  • Establish MLOps practices for continuous integration of model updates, automated retraining, model version control, and CI/CD for ML services.
  • Optimize model inference (quantization, model compression) to deliver low-latency, high-reliability performance to end-users.

• Evaluation & Quality Assurance:
  
  • Work with the AI Research Scientist and Product/Design Lead to test model outputs and ensure alignment with architectural design standards.
  • Implement evaluation metrics that reflect domain needs - e.g., accuracy of architectural details, style coherence, or alignment with user-specified parameters.
• Required Qualifications:
  
  • Master's degree in Computer Science, Data Science, or a related field (or strong practical experience equivalent).
  • Proficiency in Python (and possibly C++ for performance-critical components). Experience in building robust data and ML pipelines using frameworks such as Pandas, NumPy, and cloud data storage for handling millions of images.
  • ML Expertise: Hands-on experience training deep learning models for images, with knowledge of MLOps tools and best practices - e.g., MLflow or Kubeflow for experiment tracking, Docker for containerization, and continuous deployment.
  • Strong understanding of image augmentation, CNNs, and evaluation metrics (FID, precision/recall) for generative models. Familiarity with generative AI frameworks such as Stable Diffusion, GAN libraries, or vision transformers.
  • Domain Familiarity: Understanding of urban, architecture, and interior design datasets and workflows is a significant plus.
• Relevant Experience/Background:
  
  • Full Lifecycle ML Projects: Prior experience taking a machine learning project from problem definition and data preparation to model training, deployment, and monitoring in production.
  • Large-Scale Data Handling: Experience managing datasets of hundreds of thousands or more images where data volume and pipeline reliability were critical (e.g., imaging company, autonomous driving dataset, or large content platform).
  • AEC/Design Tech: Experience specifically in the architecture, engineering, construction (AEC) or design technology field is highly valuable, understanding CAD/BIM data or architectural imagery workflows helps ensure better model performance.
  • Software/DevOps: History of building reliable web services or tools (not just ML prototypes), indicating the ability to create a stable, production-grade AI platform.

What We Can Offer You:

• Varied, interesting and meaningful work.
• A hybrid working environment with flexibility and great opportunities.
• Opportunities for training and, as the team grows, career progression or sideways moves.
• An opportunity to work within a large global multi-disciplinary consultancy on a mission to change the ways we approach business as usual.

Why work for AtkinsRéalis?

We at AtkinsRéalis are committed to developing its people both personally and professionally. Our colleagues have the advantage of access to a high ranging training portfolio and development activities designed to help make the best of individual's abilities and talents. We also actively support staff in achieving corporate membership of relevant institutions.

Meeting Your Needs:

To help you get the most out of life in and outside of work, we offer employees 'Total Reward'.
Making sure you're supported is important to us. So, if you identify as having a disability, tell us ahead of your interview, and we'll discuss any adjustments you might need.

Additional Information:

We are an equal opportunity, drug-free employer committed to promoting a diverse and inclusive community - a place where we can all be ourselves, thrive and develop. To help embed inclusion for all, from day one, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee networks to support staff from different backgrounds. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability.

We care about your privacy and are committed to protecting your privacy. Please consult our Privacy Notice on our Careers site to know more about how we collect, use and transfer your Personal Data.

Link: Equality, diversity & inclusion | Atkins India (atkinsrealis.com)

Worker Type

Employee

Job Type

Regular

At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.