HiringCafe
Posted 2mo ago

AI Engineer

@ Staples
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Chennai, Tamil Nadu, India
OnsiteFull Time
Responsibilities:Build pipelines, Train models, Deploy AI solutions
Requirements Summary:Hands-on experience designing, developing and deploying AI/ML/NLP/GenAI/Agentic AI solutions at enterprise scale for e-commerce; strong Python and ML framework skills; experience with Databricks/Azure cloud; familiarity with vector databases and agentic frameworks.
Technical Tools Mentioned:Python, PyTorch, TensorFlow, scikit-learn, LangChain, HayStack, Semantic Kernel, Databricks, Azure, AWS, GCP, LLMs, vector databases, RAG, Weaviate, FAISS, Pinecone
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Job Description

  • 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. 

  • Developing/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). 

  • Expertise in vector databases (FAISS, Pinecone, Weaviate)