Home » Applied AI/ML Engineer

Applied AI/ML Engineer

by HR Neev Systems
April 14, 2026April 14, 2026

Role Description [Exp 5+ years]

ML engineer with expertise in data wrangling, handling, model evaluation, and selection etc., AI know-how (GenAI solution space) is essential. Experienced in building systems that automate decision-making across vendor catalogues, product selection, and cost optimization.

Responsibilities

Turn ambiguous product problems into working AI systems in production
Evaluate and choose the right approach: embeddings, RAG, fine-tuning, or classical ML
Build end-to-end pipelines [Data ingestion → cleaning → feature engineering, Model development → evaluation → deployment]
Develop core capabilities like Semantic search, Product recommendations & intelligent substitutions
Cost prediction and optimization models
Partner closely with product and engineering to ship fast and iterate based on real usage
Continuously improve models using feedback loops and performance monitoring

Required Skills / Qualifications

5 – 8 years of experience in applied AI/ML
Strong Python skills and hands-on experience with ML frameworks (PyTorch, TensorFlow, or similar)
Experience working with [LLMs (fine-tuning, RAG, prompt design), Embeddings and vector search]
Ability to make practical decisions on:
Model selection [Accuracy vs latency vs cost trade-offs, Experience deploying models into production environments]
Comfortable working with messy, real-world data
Familiarity with tools like LangChain, LlamaIndex, Pinecone, or Weaviate

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