Senior AI/ML Engineer for Production-Ready AI Solutions

Accenture

Metro Manila

On-site

PHP 1,200,000 - 2,000,000

Full time

4 days ago
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Job summary

Accenture in Manila is seeking a Senior Data Scientist / AI/ML Engineer to build production-ready AI applications and solutions using AI tools, Generative AI, deep learning, and cloud AI services.

You will lead AI-driven initiatives, collaborate across teams, and help shape technical decisions, mentoring peers while driving continuous learning and innovation. Strong cloud deployment and data visualization skills are essential.

Qualifications

  • At least 5 years of Data Science experience.
  • Strong expertise in ML, data preprocessing, feature engineering, Python and/or R.
  • Experience deploying AI in cloud environments and data visualization.

Responsibilities

  • Develop applications and systems using AI tools and Cloud AI services.
  • Build and support production-ready AI solutions across cloud or on-premise environments.
  • Apply Generative AI models as part of AI solutions.
  • Work with advanced AI techniques such as deep learning, neural networks, chatbots, and image processing.
  • Collaborate with multiple teams and contribute to important technical and project decisions.
  • Serve as a SME and provide solutions to complex problems affecting teams.
  • Share knowledge and mentor team members to encourage continuous learning.
  • Evaluate new technologies and methodologies that can improve project outcomes.
  • Monitor project progress and help ensure alignment with organizational objectives.

Skills

Data Science
Machine Learning
Python
R
Feature engineering
Data preprocessing
Cloud AI deployment
Data visualization
Generative AI

Tools

Cloud AI services

Job description

Accenture in Manila is seeking a Senior Data Scientist / AI/ML Engineer to build production-ready AI applications and solutions using AI tools, Generative AI, deep learning, and cloud AI services.

You will lead AI-driven initiatives, collaborate across teams, and help shape technical decisions, mentoring peers while driving continuous learning and innovation. Strong cloud deployment and data visualization skills are essential.

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