Ai Ml Engineer

Orange Business Services; Cyber City; Hybrid; INR 1,500,000 - 2,500,000; Full time

Job summary

Orange Business Services in India is seeking a seasoned AI/ML expert to design, deploy and optimize large-scale ML models and Generative AI solutions for real-world products.

You will work with LangChain, LlamaIndex and other frameworks to build AI agents and RAG systems, prototype rapidly, and collaborate with cross-functional teams.

Qualifications

• Strong experience in ML and DL with popular frameworks.
• Experience with ML, Generative AI and Agentic AI.
• Deploying large-scale ML models in real-world products.
• Solid knowledge of preprocessing, feature engineering, model selection, tuning, validation and deployment.
• Develop AI agents and RAG systems using LangChain/LlamaIndex.
• Strong math, probability and statistics mindset; code in AI languages.
• Assemble large data sets to meet business requirements.
• Implement AI apps using and fine-tuning LLMs.
• Communicate clearly with stakeholders and teams.
• Nice to have: cloud-based model deployment (GCP/AWS/Azure).

Responsibilities

• Ensure activities meet quality, costs and deadlines.
• Collaborate with Data & AI experts, engineers and stakeholders to translate requirements into AI/ML solutions.
• Research, analyze, explore, develop solutions and solve problems.
• Train, evaluate and fine-tune models for optimal performance.
• Own delivery of AI/ML models with high precision outcomes.
• Prototype rapidly and experiment with different models and algorithms.
• Translate business problems into AI/ML solutions with impact.
• Stay up-to-date with latest AI trends and best practices.

Skills

Machine Learning

Deep Learning

Generative AI

Agentic AI

LangChain

LlamaIndex

Data Preprocessing

Feature Engineering

Model Deployment

Python

Cloud Deployment

LLMs

Statistical Knowledge

Prototyping

Tools

LangChain

LlamaIndex

Flask

Django

Job description

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

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.