Lead AI Engineer - NLP/LLM

Overview

• 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.
• Provide technical leadership to junior AI engineers. Actively participate and lead Team scaling efforts.
• Bachelors degree in computer science, machine intelligence and 6+ years of experience
• Solid (6+ years) hands-on experience in ML training/inferencing pipelines
• Proven track record (e.g., 5 to 8+ years for Lead roles) in Machine Learning/AI engineering.
• 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
• Masters/PhD in the field computer science, machine intelligence and 4+ years of experience
• 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.

• Proven experience in defining AI strategy and roadmaps.
• Experience with agentic frameworks (LangChain, Semantic Kernel, Haystack).
• Expertise in vector databases (FAISS, Pinecone, Weaviate) and MLOps, LLM Ops.
• Track record of mentoring and scaling AI teams.
  
  

(ref:hirist.tech)