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AI / ML Engineer - AI / ML Computational Science

Full-time

Gratitude Inc

JOB TITLE: AI / ML Engineer – AI / ML Computational Science

WORK LOCATION: Manila, Philippines

WORK SETUP: Onsite

WORK SHIFT: Shifting

EXPERIENCE: Minimum 3 years

JOB DESCRIPTION : 

We are looking for an AI / ML Engineer with strong expertise in AI Architecture, Machine Learning, Generative AI, and production-grade AI systems . The role will focus on designing and developing advanced AI applications, integrating cloud-based AI services, and implementing scalable AI solutions across cloud and on-premises environments.

The ideal candidate should have hands-on experience with AI model deployment, AI pipelines, Generative AI, deep learning, neural networks, chatbots, and image processing , along with the ability to work as a technical SME and collaborate across multiple teams.

KEY RESPONSIBILITIES :

  1. Design and develop AI/ML applications and systems , leveraging AI technologies, cloud AI services, Generative AI models, deep learning, neural networks, chatbots, and image processing.

  2. Serve as an AI Architecture SME , providing technical solutions, making team-level decisions, and addressing complex AI/ML challenges across multiple teams.

  3. Design and implement scalable, production-ready AI pipelines and systems across cloud and on-premises environments, ensuring performance, reliability, and maintainability.

  4. Collaborate with cross-functional teams to align AI solutions with business and organizational goals, contribute to key technical decisions, and ensure timely delivery of AI implementations.

  5. Lead knowledge sharing and mentoring initiatives , facilitate technical collaboration, and support continuous innovation and improvement within the AI/ML team.

REQUIRED SKILLS :

  1. AI Architecture: Expert-level proficiency in AI Architecture and experience designing scalable, production-grade AI systems.

  2. AI/ML Deployment: Strong knowledge of AI model deployment and integration across cloud and on-premises environments .

  3. Generative AI: Hands-on understanding of Generative AI models and their practical applications.

  4. Deep Learning: Strong knowledge of deep learning frameworks, neural networks, chatbots, and image processing .

  5. AI Engineering & Optimization: Experience developing scalable AI pipelines and optimizing AI solutions for performance, reliability, and production readiness .

QUALIFICATIONS :

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

  • Strong experience in AI/ML application and system development .

  • Experience working with cloud AI services and on-premises AI environments .

  • Experience designing and implementing production-ready AI pipelines .

  • Strong understanding of Generative AI, deep learning, and neural network architectures .

  • Ability to work effectively across multiple teams and provide technical leadership.

  • Strong problem-solving, collaboration, communication, and mentoring skills.

  • Willingness to work onsite in Manila on a shifting schedule .

IMPORTANT NOTES : 

  • Work Setup: 100% onsite in Manila.

  • Work Shift: Shifting schedule.

  • Candidates should have a minimum of 3 years of AI Architecture experience .

  • Candidates must submit their latest CV in PDF format highlighting relevant AI/ML skills and experience.

  • The candidate's CV should include screening notes based on the job requirements .

Vacancy posted 11 hours ago
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