Senior AI / ML Engineer - LLM Models

Roles and Responsibilities :

AI / ML Engineer

• Model Development & Training
• Design, build, and train machine learning and deep learning models for classification, regression, NLP, computer vision, or recommendation systems.
• Fine-tune pre-trained models (e.g., LLMs) for domain-specific tasks.
• Generative AI & LLM Integration
• Customize and integrate Large Language Models (LLMs) like GPT for various applications.
• Implement prompt engineering, few-shot learning, and retrieval-augmented generation (RAG).
• API Development & Integration
• Develop and maintain RESTful APIs to expose AI / ML capabilities to front-end or third-party systems.
• Integrate external data sources (Databricks, SAP, document stores) securely with authentication mechanisms.
• Data Engineering & Preprocessing
• Collect, clean, preprocess, and transform large datasets for model training and inference.
• Build pipelines for real-time and batch data processing.
• Model Deployment & Monitoring
• Deploy ML models into production environments (cloud / on-prem) using tools like Docker, Kubernetes, or MLFlow.
• Implement monitoring, logging, and alerting for model performance and drift.
• Documentation & Standards
• Document APIs using OpenAPI / Swagger specifications.
• Maintain version control and code quality standards in collaboration with software teams.
• Collaboration with Cross-functional Teams
• Work closely with data scientists, software engineers, DevOps, and InfoSec teams.
• Translate business requirements into scalable ML solutions.

Security & Compliance :

Innovation & R&D :

(ref : hirist.tech)