Senior AI Engineer

Staples India; Chennai District; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Staples India Business Innovation Hub Private Limited is seeking a hands-on AI/ML Engineer to design, develop and deploy enterprise-scale AI/ML/NLP/GenAI solutions for e-commerce platforms. You will work with Python, PyTorch/TensorFlow and related tools, building modular pipelines on Databricks and Azure while ensuring security and cost efficiency.

The role requires a strong background in ML, NLP, and LLMs, with experience in data pipelines, model training and deployment, and collaboration

Qualifications

• Bachelor’s degree in computer science, machine intelligence required.
• Hands-on experience in ML training/inferencing pipelines.
• Strong programming skills in Python, PyTorch/TensorFlow, scikit-learn.
• Knowledge of ML algorithms, NLP, Deep Learning, LLMs.
• Experience with data pipelines, model training and deployment.
• Familiarity with Databricks and one cloud platform (AWS/Azure/GCP).
• Ability to work independently and in a team.

Responsibilities

• Design, develop and deploy AI/ML/NLP/GenAI/Agentic AI solutions at enterprise scale for e-commerce.
• Build, evaluate and deploy AI solutions leveraging LLMs, vector DBs, RAG, and agentic frameworks.
• Collaborate with architects, data engineers and product teams to translate requirements into AI solutions.
• Analyze large data volumes to create AI/ML/NLP workflows for real-time insights.
• Develop Python-based pipelines on Databricks and Azure with focus on security and cost.

Skills

Python

ML/AI

NLP

LLMs

Data pipelines

MLOps

LLMOps

LangChain

Vector DBs

RAG

Semantic Kernel

PyTorch

TensorFlow

scikit-learn

Databricks

AWS

Azure

GCP

Education

Bachelor’s degree in computer science, machine intelligence

Masters in computer science / machine intelligence

Tools

Databricks

AWS

Azure

GCP

Job description

Staples India Business Innovation Hub Private Limited | Permanent

Hands-on experience in designing, developing and deploying AI/ML/NLP/GenAI/Agentic AI solutions (involving modeling, benchmarking and inferencing) at enterprise scale for e-commerce.

Hands-on experience in building, evaluating and deploying AI solutions leveraging LLMs, vector DBs, RAG , Agentic frameworks (such as LangChain , HayStack , Semantic Kernel).

Strong programming skills in Python (experience with PyTorch , TensorFlow, scikit-learn, etc.) and Solid understanding of ML algorithms, NLP, computer vision, finetuning LLMs .

Stay updated on advancements in AI/ML, LLMs, and agentic frameworks to propose innovative modular/reusable solutions/approaches/pipelines to enable the Platforms & Innovation Lab pillar.

Collaborate with architects, data engineers, AI engineers, product and business teams to translate business requirements into fully operational AI solutions.

Analyzing large volumes data and establishing AI/ML/NLP and Generative AI based automation workflows to enable cross functional business teams with real-time actionable intelligence.

Building modular, reliable, scalable python-based pipelines on Databricks and Azure with attention to security, cost, and data sensitivity.

D eveloping/implementing algorithms and maintaining systems that deals with streaming big data for AI/ML based actionable insights.

Drive all phases of software development including design, prototyping, and incremental production release adhering to industry best DevOps, MLOps , LLMOps practices.

Designing and implementing highly reliable , fault-tolerant distributed ML applications with focus on ML Operations and CI/CD.

Implement responsible AI practices and templates, focusing model explainability, fairness, Human-In-The-Loop validation, compliance and governance.

Requirements

Basic Qualifications

Bachelor’s degree in computer science, machine intelligence

Solid hands-on experience in ML training/inferencing pipelines

Strong programming skills ( Python, PyTorch /TensorFlow, scikit-learn ).

Knowledge of Machine Learning algorithms, NLP, Deep Learning, LLMs .

Experience with data pipelines, model training, and deployment .

Familiarity with Databricks and one cloud platforms (AWS, Azure, GCP).

Ability to work both independently and as part of a collaborative team

Preferred Qualifications

Masters in the field computer science, machine intelligence

Hands-on experience in designing, developing and deploying AI/ML/NLP/GenAI/Agentic AI solutions (involving modeling, benchmarking , inferencing) at enterprise scale for e-commerce.

Hands-on experience in building, evaluating and deploying AI solutions leveraging LLMs, vector DBs, RAG , Agentic frameworks (such as LangChain , HayStack , Semantic Kernel).

Strong programming skills in Python (experience with PyTorch , TensorFlow, scikit-learn, etc.) and Solid understanding of ML algorithms, NLP, computer vision, finetuning LLMs .

Experience with agentic frameworks ( LangChain , Semantic Kernel, Haystack) .