Senior AI Engineer - Lead Scalable Production ML

3502 Servicios Internacionales De Atencion Al Cliente, Limitada; Philippines; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

Genpact is seeking an Sr. AI Engineer to design and deploy end-to-end ML pipelines for production analytics, leading model development lifecycles and mentoring junior engineers.

You will partner with data engineers and stakeholders to translate requirements into scalable AI solutions and continuously improve model performance. The role emphasizes collaboration, architecture documentation, and contributions to internal AI capability through reusable code and frameworks, based in the Philippines

Qualifications

• Design and implement end-to-end ML pipelines for production analytics use cases.
• Own model development lifecycle including feature engineering, training, validation, and deployment.
• Mentor junior AI engineers and analysts on ML best practices, code quality, and problem-solving approaches.
• Partner with data engineers and stakeholders to translate requirements into ML solutions and validate model performance.
• Drive optimization of existing AI models through experimentation, hyperparameter tuning, and algorithm selection.
• Document technical architecture, model assumptions, and deployment procedures for knowledge transfer.
• Contribute to internal AI/ML capability building by sharing learnings, code libraries, and reusable frameworks.

Responsibilities

• Design end-to-end ML pipelines for production analytics.
• Own model development lifecycle from feature engineering to deployment.
• Mentor junior AI engineers and analysts on ML best practices.

Skills

AI/ML Ops

AI Agents

AWS

AI

Deep Learning

GCP

ML

Azure

NLP

PyTorch

TensorFlow

Education

Bachelors - Computer Science

Bachelors - Mathematics

Bachelors - Software Engineering

Masters - Artificial Intelligence

Masters - Statistics

Tools

AWS

Google Cloud Platform

Microsoft Azure

PyTorch

TensorFlow

Job description

Genpact is seeking an Sr. AI Engineer to design and deploy end-to-end ML pipelines for production analytics, leading model development lifecycles and mentoring junior engineers.

You will partner with data engineers and stakeholders to translate requirements into scalable AI solutions and continuously improve model performance. The role emphasizes collaboration, architecture documentation, and contributions to internal AI capability through reusable code and frameworks, based in the Philippines