Any
70000 (Negotiable)
TBD
Jun 23, 2026
** Salary: Php 70,000 - 80,000 / month
** Location: Remote
** Contract: 3 Months
** Experience: 4–5 years
We are looking for a skilled AI/ML Engineer to help build intelligent systems that optimize infrastructure performance, cost efficiency, and resource allocation. This role focuses on designing and deploying machine learning models that support automated decision-making across cloud and containerized environments.
You will work closely with engineering and DevOps teams to develop scalable AI-driven solutions that process infrastructure metrics and generate real-time optimization strategies for modern systems and workloads
Key Responsibilities
- Design and deploy machine learning models for infrastructure optimization
- Develop algorithms for predictive modeling and decision optimization
- Build data pipelines and feature engineering workflows
- Integrate ML outputs into backend services through APIs
- Monitor and retrain models using modern MLOps practices
- Implement intelligent scheduling and resource allocation systems
Required Skills
- 4–5 years experience building production ML systems
- Strong Python development skills
- Experience with PyTorch, TensorFlow, scikit-learn
- Knowledge of Kubernetes and containerized environments
- Experience with cloud platforms (AWS, Azure, or GCP)
- Familiarity with Docker, Cassandra/PostgreSQL, Redis, Kafka
- Experience with ML lifecycle tools (MLflow, Kubeflow, Airflow)
Nice to Have
- Experience with recommendation systems or optimization engines
- Knowledge of GPU infrastructure and CUDA environments
- This is a great opportunity to contribute to innovative AI systems and work with modern infrastructure technologies.
--> Please submit your CV and expected availability when applying.