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AI Engineer

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AMCS Group

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Location:
Philippines , Cebu

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking a highly skilled and motivated AI Engineer to join our technology team. This role will focus on designing, developing, and deploying AI/ML solutions that enhance business processes, drive innovation, and support strategic initiatives within a greenfield team. The ideal candidate will have strong experience with AI technologies and familiarity with Azure and GCP offerings, enabling seamless integration across platforms. This is an opportunity to contribute to the design and build out of our AI platform using the latest technology advancements and tooling. A strong work ethic with a can-do attitude is expected, alongside a culture of friendly collaboration and teamwork. You will contribute to a continuous improvement ethos to help realize a high performing team. You will have a keen interest in doing things the right way and for taking on new challenges. The ideal candidate will have a strong Software & Data Engineering background with proven experience in implementing machine learning models into applications and understanding of how AI platforms work. You will maintain a strong focus on the reliability and performance of our systems centered around a positive customer experience.

Job Responsibility:

  • Design and implement scalable AI/ML models using AI services tooling
  • Collaborate with cross-functional teams to identify opportunities for AI-driven solutions
  • Develop and maintain data pipelines
  • Deploy models using Azure Machine Learning and/or Vertex AI
  • Monitor model performance and retrain as needed to maintain accuracy and relevance
  • Ensure responsible AI practices including fairness, transparency, and security
  • Contribute to the development of internal AI frameworks and reusable components
  • Stay current with AI trends and emerging technologies to inform strategic direction
  • Possess a good understanding of cloud platforms and their related Data and Service offerings to be able to contribute to the design and implementation of scalable, resilient architectures across Azure Fabric and GCP
  • Ensure good quality code with high levels of code coverage that follow best Engineering practices
  • Mentor engineers, fostering best practices in code review, testing, and documentation

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
  • 2+ years of experience in AI/ML engineering roles
  • Proficiency in Python, SQL, and relevant ML libraries
  • Experience with Azure & GCP AI tooling and services
  • Strong understanding of data engineering concepts and tools (e.g., Azure Data Factory, Synapse, GCP Dataflow)
  • Experience with MLOps practices and tools (e.g., MLflow, Azure DevOps, Kubeflow)
  • Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines
  • Strong problem-solving and analytical skills
  • Proven track record of deploying AI solutions in production environments
  • Experience working in enterprise environments with Microsoft and GCP ecosystems
  • Strong understanding of distributed systems, data modelling, and cloud-native architectures
  • Proficiency with tooling for ETL (Data Factory, Dataflow), Analysis and BI/Reporting (PowerBi, Looker Studio, etc.)
  • Experience of implementing Datamarts and Data warehouses (SQL, BigQuery, Snowflake)
  • Knowledge of Data and Event streaming tooling (Kafka, Google Cloud Pub/Sub, etc.)
  • Familiarity with monitoring and logging tools like Prometheus, Grafana and DataDog
  • A keen interest in AI technologies and tooling and how they can be leveraged by teams to accelerate Delivery and value to the business and our customers
  • Excellent leadership, communication, and stakeholder management skills
What we offer:
  • Health insurance that covers up to three dependents
  • Allowances
  • Access to a comprehensive learning and development platform that provides on-the-job training on essential skills, with the ability to track your progress centrally
  • 25 days of leave
  • Joining a world leader in environmental services

Additional Information:

Job Posted:
January 03, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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