Key Responsibilities
Design, develop, and deploy machine learning, statistical, deep learning, and

Generative AI models for enterprise use cases.
Perform data exploration, feature engineering, model training, evaluation, and

optimization on structured and unstructured datasets.
Build predictive, prescriptive, and descriptive analytics solutions aligned with

business objectives.
Develop and fine-tune AI/ML models including classical ML, Deep Learning, NLP,

Time-Series Forecasting, and Large Language Models (LLMs).
Design and implement Retrieval-Augmented Generation (RAG) pipelines using

enterprise knowledge sources and Vector Databases.
Build reusable Prompt Templates and Prompt Engineering strategies for

enterprise AI applications.
Apply Anthropic Constitutional AI principles to develop secure, reliable, and

responsible AI applications.
Collaborate with Data Engineering and Platform teams to productionize models

using MLOps and LLMOps best practices.
Develop AI experimentation, evaluation, and benchmarking frameworks using

MLflow and enterprise AI evaluation methodologies.

📌 Ai Engineer Generative Ai, Llm & Mlops Bengaluru
🏢 Tecnoprism
📍 Bengaluru