Ramboll

Software Developer (Python)

29 November 2024
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Deadline date:
£48000 - £89000 / year

Job Description

Company Description

Work at the heart of sustainable change

Ramboll is a global architecture, engineering, and consultancy company. We believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. At Ramboll, our core strength is our people, and our history is rooted in a clear vision of how a responsible company should act. Being open and curious is a cornerstone of our culture. We embrace an inclusive mindset that looks for fresh, diverse, and innovative perspectives. We respect, embrace, and invite diversity in all forms to actively cultivate an environment where everyone can flourish and realise their full potential.

Job Description

Job Overview :

We are looking for AI /ML Engineer to develop applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.

Responsibilities:

Develop and implement models to accurately read and interpret handwritten text from scanned documents.

Preprocess images to enhance text readability and improve model accuracy 

• Design, develop, and deploy image classification models to categorize visual data.

• Optimize and fine-tune models to improve performance and reduce error rates.

• Analyze large datasets, identify trends, and create predictive models using advanced machine learning techniques

• Implement data preprocessing, feature engineering, and model training to deliver accurate predictive insights.

• Build, train, and fine-tune deep learning models for various tasks, including NLP.

• Leverage existing models and retrain them to adapt to specific datasets and objectives.

• Integrate and consume APIs, such as ChatGPT, to perform generative AI tasks.

• Develop workflows that incorporate generative AI solutions for enhanced automation and intelligence.

• Implement and manage APIs to facilitate communication between machine learning models and external systems or applications.

• Lead the design, development, and deployment of end-to-end AI products that solve real-world problems.

• Collaborate with cross-functional teams to integrate machine learning models into full-fledged AI solutions.

• Ensure that the AI product is scalable, secure, and optimized for performance.

• Deploy machine learning models into production environments.

• Monitor model performance and implement updates as needed to maintain optimal functionality

Qualifications

Strong proficiency in Python, TensorFlow, PyTorch, and other machine learning frameworks.

• Experience with computer vision techniques, particularly in OCR (Optical Character Recognition) for handwritten text.

• Deep understanding of image processing, data augmentation, and model optimization.

• Proficiency in handling and analyzing large datasets using tools like Pandas, NumPy, and SQL.

• Experience in feature engineering and data preprocessing for machine learning models.

• Expertise in deep learning models, particularly in areas like CNNs for image classification and RNNs/Transformers for NLP tasks.

• Experience in retraining pre-existing models and fine-tuning them for specific tasks.

• Knowledge of RESTful APIs and experience integrating external services, such as generative AI models, into machine learning pipelines.

• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker for deploying and managing models

 • Experience in building and deploying complete AI products, including front-end, back-end, and AI components.

• Understanding of software engineering principles to ensure the seamless integration of AI models into applications

 • Strong problem-solving abilities with a focus on machine learning and AI.

• Ability to translate business needs into technical solutions and model specifications.

• Excellent communication skills to collaborate with cross-functional teams.

• Ability to document and present technical concepts to non-technical stakeholders.

Education:

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.

• Relevant certifications in machine learning or AI are a plus

Additional Information

Personal qualities that will help you succeed in this role include:

  • The ability to build relationships and trust, so your business colleagues see you as their partner, focusing on creating value for the business
  • The ability to understand and navigate a complex, relationship-based matrix organization to achieve key objectives
  • Being able to adopt a team-oriented approach to solving problems
  • Excellent communication and collaboration skills

Welcome to our Support Organisation

In Ramboll’s Support Organisation we take pride in keeping Ramboll running smoothly, enabling bright minds throughout the organisation to focus on their areas of expertise as we tie together all parts of the business. We provide support within areas like Finance, HR, IT, Legal, Communication, Facility Management and more, coordinating efforts and securing common ground for the development and servicing of clients and markets.

About Ramboll

Founded in Denmark, Ramboll is a foundation-owned people company. We have more than 18,000 experts working across our global operations in 35 countries. Our experts are leaders in their fields, developing and delivering innovative solutions in diverse markets including Buildings, Transport, Planning & Urban Design, Water, Environment & Health, Energy, and Management Consulting. We invite you to contribute to a more sustainable future working in an open, collaborative, and empowering company. Combining local experience with global knowledge, we together shape the societies of tomorrow.

Equality, diversity, and inclusion is at the heart of what we do

We believe in the strength of diversity and know that unique experiences and perspectives are vital for creating truly sustainable societies. Therefore, we are committed to providing an inclusive and supportive work environment where everyone can flourish and reach their potential. We welcome applications from candidates of all backgrounds and encourage you to contact our recruitment team to discuss any accommodations you need during the application process