Description

Job Responsibilities include:

Design and develop AI/ML models, including fine-tuning LLMs on Google Cloud Vertex AI for enterprise use cases.

Build and maintain orchestration frameworks to integrate AI engines with internal platforms and services.

Evaluate model performance using defined metrics such as accuracy, latency, and effectiveness, and drive continuous improvements.

Implement MLOps practices including model versioning, monitoring, drift detection, and automated retraining workflows.

Collaborate with data engineering and cloud teams to ensure data quality, feature engineering, and secure model deployment.

Develop internal tools and documentation to support model governance, compliance, and scalability across AI platforms.

Required Qualifications:

Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related field.

5+ years of experience in machine learning engineering, AI systems development, or applied AI research.

Strong hands-on expertise in Google Cloud Platform (Vertex AI) and LLM fine-tuning, with experience in building orchestration frameworks and applying MLOps practices.

Proven experience in Python-based ML development (TensorFlow/PyTorch), model evaluation, and designing scalable AI solutions with strong understanding of data governance and enterprise AI integration

Key Skills

Education

Any Graduate