Software Engineer (Python & Ai/Ml)

Buscojobs; Metro Manila; Hybrid; PHP 600,000 - 800,000; Full time

Job summary

A leading recruitment platform is seeking talented Software Engineers and Artificial Intelligence Engineers for roles based in the National Capital Region. Candidates will design and develop software or AI/ML systems, collaborating with diverse stakeholders in an agile environment. Required qualifications include a degree in relevant fields and strong programming skills, particularly in Python. Competitive salaries and opportunities for professional development are offered, with flexible onsite or hybrid work arrangements.

Benefits

Competitive salaries

Professional development and training

Flexible work arrangements

Qualifications

• Strong programming skills, primarily in Python.
• Experience with ML frameworks and data processing tools preferred.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, test, and deploy AI/ML systems.
• Collaborate with product managers and UX designers.
• Manage data pipelines and ensure system reliability.

Skills

Python

AI/ML engineering

Collaborative communication

Data processing

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field

Tools

TensorFlow

PyTorch

Docker

AWS

Job description

Overview

Software Engineer / Artificial Intelligence Engineer positions in Taguig, Pasig City, and surrounding NCR areas. Roles vary from AI/ML engineering to software development, with onsite requirements and contract or permanent opportunities. Description aggregates multiple postings, focusing on responsibilities and qualifications relevant to Python, AI/ML, data science, and software engineering in enterprise settings.

Responsibilities

• Design, develop, test, and deploy software or AI/ML systems; build APIs, back-end services, and front-end interfaces as required by the role.
• Collaborate with product managers, UX designers, data scientists, and other stakeholders to translate business needs into technical specifications.
• Manage data pipelines, model lifecycles, and production-grade deployment of ML/AI solutions.
• Design and implement AI agents, LLM integrations, and NLP components; apply agentic AI concepts where applicable.
• Ensure system scalability, reliability, security, and observability; monitor performance and iterate based on feedback.
• Participate in code reviews, architecture discussions, and knowledge sharing; contribute to DevOps practices and continuous delivery.
• Stay current with AI/ML advances and cloud-native technologies; apply best practices for data governance and ethics.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or related field.
• Strong programming skills (primarily Python; familiarity with Java/Scala as applicable).
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing tools (Spark, Hadoop, Kafka) is preferred.
• Familiarity with RESTful APIs, microservices, containers (Docker/Kubernetes), and cloud platforms (AWS, GCP, Azure).
• Knowledge of data structures, algorithms, and software design patterns; ability to translate business requirements into technical solutions.
• Experience with UI/UX awareness, data visualization, and reporting tools is a plus.
• Excellent communication, collaboration, and problem-solving skills; ability to work in agile teams and manage multiple stakeholders.

Locations & Engagements

• Taguig, National Capital Region
• Pasig City, National Capital Region
• Onsite/Hybrid arrangements depending on role

Sample Roles Mentioned

• Software Engineer with Python, AI/ML focus
• Artificial Intelligence Engineer (ML, LLMs, NLP, agentic systems)
• Artificial Intelligence Stackers (Front-End, Back-End, Full Stack) for AI-powered applications
• GDS Consulting Data and AI Associate Director (leadership role in AI & Data practice)
• Software Engineer (General) at multinational teams

What We Offer (Benefits vary by role)

• Competitive salaries, benefits, and career growth opportunities
• Onsite or hybrid work arrangements; potential for global collaboration
• Professional development, training, and certifications
• Opportunity to work with cutting-edge AI/ML technologies