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Sr Software Engineer

Orange · orange.jobs
GurugramHybridSenior
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Posted 11 days ago. 19 more Machine Learning / AI Engineer jobs in Gurugram went up on company career pages this week. See the newer ones

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The job in short

AI/ML engineer building LLM, RAG and agentic AI systems.

PythonDjangoFlaskAWSAzureGCPMachine learningDeep learningGenerative AILLMsLangChainLlamaIndex

Details

Found
10 d ago · posted 2026-10-27
Location
GURGAON, HARYANA

Full description

Publication date : Mar 10, 2026, 12:00AM 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. 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. 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. • 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. At Orange, only your skills matter. Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation. Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.

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