Generative AI Engineer

We’re looking for someone who has grown from Data Science into hands‑on AI Engineering — building, deploying, and operating AI systems in production (not just notebooks/POCs).
Responsibilities Analyse large datasets and build advanced ML models (predictive, time‑series, deep learning). Develop and deploy GenAI applications , including LLM fine‑tuning, RAG pipelines, and prompt‑engineering. Build agentic AI workflows that automate tasks, make decisions, and interact with tools/APIs. Design end‑to‑end AI/ML pipelines with engineering teams (data ingestion, model serving, monitoring). Integrate AI systems into production platforms with high reliability and performance. Qualifications and Skills Bachelor’s/Master’s in Computer Science, Data Science, AI, Engineering, or related field. 7+ years in Data Science or ML roles, with hands‑on GenAI/LLM experience. Strong Python (pandas, Num

Py, scikit‑learn, Py

Torch/Tensor

Flow) and SQL skills. Experience deploying ML/AI models in production. Familiarity with LLMOps/MLOps , vector databases, and cloud platforms (AWS/Azure/GCP). Strong communication and stakeholder‑management skills. #J-18808-Ljbffr