Sr. Data Scientist

About the job

About the role Key accountabilities/Key result / decision areas (outcomes) • Manage and deliver all assigned projects as per agreed time frame, allocated budget, resource and quality criteria. • Managing project risks, including the development of contingency plans • Responsible for Identification & all the communication with the stakeholders. • 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 • 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 Sales, Operation, Technology and Platform and architecture teams. • 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 architecture 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. • 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 metrics • 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. • Help and act as Technical support to Other DS within team. • Act as technical consultant for Data & AI use case. • Deploy LLMs to production environments and monitor their performance for accuracy, fairness, and efficiency • 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. • Document your work clearly and concisely, including research papers, technical reports, and code documentation.

Requirements

• Machine Learning
• Statistical Analysis
• TensorFlow
• PyTorch
• AI Development

Qualifications

• Bachelor's Degree
• 6 years’ hands-on applied research experience

Preferred Technologies

• Machine Learning
• Statistical Analysis
• TensorFlow
• PyTorch
• AI Development

Benefits

• Global Opportunities
• Flexible Work Environment
• Professional Development
• Career Growth

About the company

Join us at Orange Business! We are 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. 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.