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