AI Engineer

• 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.

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)