- 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: o Turn ambiguous product problems into working AI systems in production o Evaluate and choose the right approach: embeddings, RAG, fine-tuning, or classical ML o Build end-to-end pipelines [Data ingestion cleaning feature engineering, Model development evaluation deployment]

- Develop core capabilities like Semantic search, Product recommendations & intelligent substitutions o Cost prediction and optimization models o Partner closely with product and engineering to ship rapid 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 o Strong Python skills and hands-on experience with ML frameworks (PyTorch, TensorFlow, or similar) o Experience working with [LLMs (fine-tuning, RAG, prompt design),

- Embeddings and vector search] o Ability to make practical decisions on: o Model selection [Accuracy vs latency vs cost trade-offs,

- Experience deploying models into production environments] o Comfortable working with messy, real-world data o Familiarity with tools like LangChain, LlamaIndex, Pinecone, or Weaviate

📌 AI / ML Engineer (Hyderabad)
🏢 DANGI DIGITAL MEDIA
📍 Hyderabad