Data Scientist

Orange Business; Gurugram District; Hybrid; INR 1,500,000 - 2,700,000; Full time

Benefits offered by this job

Global opportunities

Hybrid work environment

Professional development

Career growth

Well-being programs

Referral program

Job summary

Orange Business is seeking a senior AI/ML practitioner to lead end-to-end ML projects from problem definition through deployment. You will collaborate with product, data science, and customer support teams to design, train, and evaluate models, including LLMs, using TensorFlow or PyTorch.

The role involves building scalable data pipelines, developing front-end interfaces with HTML/JS frameworks, and staying current with AI research to drive practical business outcomes.

Qualifications

• Experience designing and delivering AI/Big Data solutions.
• Hands-on applied research in ML on large datasets.

Responsibilities

• Lead ML/LLM projects with defined timelines and budgets.
• Collaborate with product, tech, and support to identify ML improvements.
• Develop and deploy ML models and pipelines for production.
• Build front-end interfaces for AI-powered apps using HTML/JS frameworks.

Skills

AI/ML solution design

Machine learning research

Communication

Tools

TensorFlow

PyTorch

React

Angular

HTML

CSS

JavaScript

Python

Java

Job description

About Us

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. 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.

About The Role

• 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. 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.
• Participate in the entire LLM development lifecycle, from problem definition and data preparation to model training, evaluation, and deployment.
• Design and implement novel LLM architectures and training techniques, leveraging deep learning frameworks like TensorFlow and PyTorch.
• 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.
• Evaluate LLM performance using appropriate metrics and identify opportunities for improvement.
• 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
• 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.
• Stay up-to-date on the latest advancements in LLM research and identify opportunities to incorporate them into your work
• Build scalable back-end systems and APIs to support AI model integration and data processing using languages such as Python, Java, or Node.js.
• Collaborate with researchers to explore new applications for LLMs in various domains.
• 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.

About You

• Have extensive experience of the design and delivery of AI or Big Data solutions
• Hands‑on applied research experience developing and implementing machine learning models on large scale data sets
• Expertise in machine learning and statistical analysis approaches such as classification, clustering, regression, statistical inference, collaborative filtering, natural
• Hands‑on experience in conducting analyses on unstructured structured / semi‑structured data
• Ability to drive initiatives from within the team and realize them for organization and/or team’s benefit.
• Excellent interpersonal and communication skills.
• You bring rigor, passion for challenges, and determination. You seek the opportunity to expand your expertise, achieve your goals, and thrive.

What We Offer

• Global Opportunities: Work in multi‑national teams with opportunity to collaborate with colleagues and customers from all over the world.
• Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
• Professional Development: training programs and upskilling/re‑skilling opportunities.
• Career Growth: Internal growth and mobility opportunities within Orange.
• Caring and Daring Culture: Health and well‑being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.
• Reward Programs: Employee Referral Program, Change Maker Awards.

Only Your Skills Matter

Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, 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.