Orange Business is a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business. Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
As a Data Scientist you will play a key part in designing, developing, and deploying innovative large language models to address real-world challenges and business needs. You will collaborate with researchers, data scientists, and software engineers to push the boundaries of AI technology and create next-generation applications for maximizing value for business.
key accountabilities | key result / decision areas (outcomes) |
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| Project plan adherence with a view on coordination of multiple projects/activities in the team. Timely interaction with stakeholders and update the progress of activity, risks, completion status Regular tracking of project risks and share with relevant stakeholders
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Work with product, Technical and Customer Support on identifying problems in different areas where machine learning/statistics can help. Present your findings to both technical and non-technical audiences. | Lead traversal technical discussion with Digital Technology and GDO team |
Participate in the entire LLM development lifecycle, from problem definition and data preparation to model training, evaluation, and deployment. | Identify and own Use case coming from Different BU and lead it from doing POC till industrialization |
Design and implement novel LLM architectures and training techniques, leveraging deep learning frameworks like TensorFlow and PyTorch. | Build and share technical architecture with Business SPOC |
Develop and maintain efficient pipelines for data preprocessing, training, and inference. |
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Collaborate with data scientists to curate, clean, and prepare high-quality training data for LLMs. | Develop, contribute and Lead technical framework for AI use case environment |
Evaluate LLM performance using appropriate metrics and identify opportunities for improvement. | LLM performance evaluation and define metrices |
Apply advanced machine learning algorithms, statistical methods and predictive modeling techniques on large and varied data sets that include application logfiles, other online application telemetry, structured and unstructured data sources | Building machine Learning model and application. Act as technical consultant for Data & AI use case. |
Deploy LLMs to production environments and monitor their performance for accuracy, fairness, and efficiency | Building machine Learning model and application. Act as technical consultant for Data & AI use case. |
Design and develop front-end interfaces for AI-powered applications using modern web technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. | Lead and Research and development initiative within Team and come up industry standard practice within team to follow in ongoing projects. |
Stay up-to-date on the latest advancements in LLM research and identify opportunities to incorporate them into your work | Act as SPOC from data & AI team to leverage AI capabilities with Business team. |
Build scalable back-end systems and APIs to support AI model integration and data processing using languages such as Python, Java, or Node.js. |
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Collaborate with researchers to explore new applications for LLMs in various domains. | Define Solution design proposal for business |
Manage the infrastructure needed for data scientists to run their experiments and deploy models. This includes setting up compute clusters with GPUs or TPUs for computationally intensive tasks, configuring cloud storage for datasets, and managing containerized environments for model deployment Document your work clearly and concisely, including research papers, technical reports, and code documentation. |
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Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
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