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 :

- Ensure models and APIs comply with organizational security standards.

- Collaborate with InfoSec for secure data access and deployment.

Innovation & R&D :

- Stay updated with the latest advancements in AI/ML, LLMs, and GenAI tools.

- Prototype and evaluate new technologies to improve product capabilities.