- Location
- Gurgaon, IN
- Department
- Engineering
- Closing date
- May 7, 2026
- Source
- iCIMS
Description
Orange Business is here!
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
Ensure the activities by holding the commitments in terms of quality, costs and deadlines.
Having strong expertise on AI / Machine learning, Generative AI and Agentic AI
Collaborate with Data & AI experts, Software Engineers and Business stakeholders to translate business requirements into solutions related to AI/ML, Generative AI and Agentic AI
Research / Analysis, Exploration, Solution development, and Problem solving
Solid experience of Training, evaluating, and fine-tuning models for optimal performance.
Ownership of delivering AI/ML models with high precision outcomes
Experience with building, deploying, and enhancing large-scale machine learning models and algorithms within real-world product environments
Good knowledge of math, probability, and statistics, and algorithms; Ability to write robust code in Popular AI Programming languages
Ability to rapidly prototype and experiment with different models and algorithms
Good understanding of the business context and the ability to translate business problems into AI/ML solutions
Excellent communication and interpersonal skills
Passionate for continuous learning and staying up-to-date with the latest trends and best practices in AI, Gen AI etc.
About you
Must have strong and proven experience in Machine learning and Deep learning techniques and use of popular AI/ML frameworks
Must have good experience on various AI techniques: Machine learning, Generative AI and Agentic AI
Experience with building, deploying, and enhancing large-scale machine learning models and algorithms within real-world product environments
Solid experience and understanding of ML techniques such as: Data Preprocessing, Feature Engineering, Model selection, Hyperparameter Tuning, Validation, and Deployment
Develop multi AI agents and RAG systems for real-time decision-making, integrating tools like LangChain, LlamaIndex, or custom frameworks.
Good knowledge of math, probability, and statistics, and algorithms; Ability to write robust code in Popular AI Programming languages
Assemble large, complex data sets that meet functional / non-functional business requirements
Must be able to implement AI applications by using and fine-tuning Large Language Models (LLMs)
Experience with production support, technical analysis and problem solving
Hands on experience on Large Language Models (LLMs), text generation, or similar Generative AI applications
Must have good communication and presentation skills
Good to have: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Good to have: Experience working with Cloud platforms (e.g. GCP, AWS, Azure) for model deployment, AI services and operation
Good to have: Working experience on a Python web framework (e.g. Flask/Django) would be a plus
Optional: Work on AI/ML services on Cloud infrastructure and various cloud managed services
You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.
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.
