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GRATITUDE INC
APAC · AFRICA · U.S.A

(ACTIVE) AI/ML Engineer – Computational Science | Onsite Manila

33 Views 1 day ago
Experience 3–8 Year(s)
₱
Salary ₱ 100 – 150K p.m
Location Manila
8 candidate(s) already applied

Job Description

Work Location: Manila, Philippines

Work Setup: Onsite
Work Schedule: Shifting
Salary: Confidential (To be discussed during the job offer)
Employment Type: Full-Time
Minimum Experience: 3+ Years
Job Reference: ATCP-1422790-S423149

Job Summary

We are looking for an experienced AI/ML Engineer with strong expertise in AI Architecture, machine learning, and computational science to design, develop, and implement advanced AI-powered applications and intelligent systems.

The ideal candidate will have hands-on experience in developing production-ready AI solutions using cloud-based AI services and on-premises infrastructure. The role involves integrating Generative AI models, designing scalable AI pipelines, and implementing advanced technologies such as deep learning, neural networks, chatbots, and image processing.

The successful candidate will also serve as a Subject Matter Expert (SME), providing technical leadership, mentoring team members, collaborating with cross-functional teams, and contributing to critical architectural and technology decisions.

Key Roles & Responsibilities

  • Design, develop, and implement advanced AI/ML applications and intelligent systems.

  • Architect scalable, reliable, and production-ready AI solutions using cloud and on-premises environments.

  • Integrate cloud-based AI services, AI tools, and Generative AI models into enterprise applications.

  • Develop and optimize AI/ML pipelines to support efficient model development, deployment, and integration.

  • Apply machine learning, deep learning, neural networks, and other AI techniques to solve complex business problems.

  • Develop and implement AI-powered solutions, including chatbots, image processing applications, and intelligent automation systems.

  • Ensure AI applications meet production standards for performance, scalability, reliability, and quality.

  • Evaluate and optimize AI models to improve accuracy, efficiency, and overall system performance.

  • Act as a Subject Matter Expert (SME) and provide technical guidance to the engineering team.

  • Lead technical discussions and contribute to architectural and team-level decisions.

  • Collaborate with multiple teams and stakeholders to align AI solutions with business and organizational objectives.

  • Facilitate knowledge sharing, technical mentoring, and best-practice implementation within the team.

  • Monitor project progress, manage technical deliverables, and ensure timely implementation of high-quality AI solutions.

Required Qualifications

  • Minimum 3+ years of relevant hands-on experience in AI Architecture.

  • Strong expertise in AI/ML architecture and intelligent application development.

  • Experience designing and implementing scalable AI solutions.

  • Strong understanding of AI model deployment and integration across cloud and on-premises environments.

  • Hands-on experience developing production-ready AI pipelines and applications.

  • Practical knowledge of Generative AI models and their implementation in real-world applications.

  • Strong understanding of deep learning techniques and neural network architectures.

  • Experience working with AI-powered applications such as chatbots, image processing, and intelligent systems.

  • Ability to optimize AI solutions for performance, scalability, and reliability.

  • Strong problem-solving, analytical, and technical decision-making skills.

  • Excellent collaboration and communication skills.

  • Ability to work independently and provide technical leadership to a team.

Preferred Technical Expertise

  • AI Architecture and Solution Design

  • Machine Learning (ML)

  • Generative AI (GenAI)

  • Deep Learning

  • Neural Networks

  • Cloud AI Services

  • AI Model Deployment and Integration

  • Cloud and On-Premises Infrastructure

  • Production-Ready AI Pipelines

  • Chatbot Development

  • Image Processing

  • AI Performance Optimization

  • Intelligent Application Development

Work Details

  • Work Location: Manila, Philippines

  • Work Arrangement: 100% Onsite

  • Shift: Shifting Schedule

  • Experience: 3+ Years

  • Salary: Confidential; compensation will be discussed during the job offer.

Recruitment & Selection Process

  1. Initial CV Screening by the CV Reviewer.

  2. Candidate Endorsement for Validation.

  3. Further CV Screening through Workday.

  4. HRI Toolkit and FCV Assessment/Review.

  5. Client Review and Further Selection.

Application Requirement: Candidates must submit their latest updated CV in PDF format along with relevant screening notes based on the job requirements.

Mandatory Pre-Screening Questions

  1. How many years of relevant hands-on experience do you have in AI Architecture?

  2. What was your last drawn monthly salary?

  3. What is your expected monthly salary?

  4. Are you amenable to working onsite in Manila on a shifting schedule?

Why Join This Opportunity?

  • Work on advanced AI/ML and Generative AI implementations.

  • Contribute to enterprise-level AI architecture and intelligent application development.

  • Take ownership of technical decisions and collaborate with cross-functional engineering teams.

  • Gain exposure to innovative AI technologies and production-scale AI solutions.

Apply Now! Take the next step in your career as an AI/ML Engineer and contribute to building scalable, intelligent, and next-generation AI solutions.

Key Skills

8 Skills
Architecture Artificial Intelligence (AI) Python Cloud Computing machine learning Cloud services GenAI tools design applications

Role Specifications

Role
Engineering - Software
Timings
Rotational Shifts (Permanent)
Industry
IT-Software / Software Services
Work Mode
Work from office
Process
Non-Voice
Functional Area
IT Software/Hardware

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Gratitude Inc
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Gratitude Inc is a global company with presence across APAC, Africa, and USA. We are known for our people, innovation and customer focused approach.

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