AI Developer - Cebu City, Metro Manila / NCR, Davao - RCG Global Services

Paglalarawan

Key Responsibilities:

• Design, build, and deploy AI and machine learning solutions that solve real business problems.
• Support the full AI development lifecycle, including data preparation, feature engineering, model training, validation, and optimization.
• Develop and enhance scalable AI models using modern ML frameworks and cloud-based platforms.
• Deploy, monitor, and maintain AI solutions in production to ensure performance, reliability, and scalability.
• Collaborate with AI leads, engineers, and cross-functional stakeholders to translate business requirements into technical solutions.
• Partner with onshore and offshore teams to support timely delivery of prioritized AI initiatives.
• Apply security, data privacy, and compliance best practices throughout the development and release process.
• Contribute to shared AI components, reusable assets, and development standards.
• Stay current with emerging AI technologies and incorporate relevant advancements into solutions.
• Support knowledge sharing by mentoring or enabling team members on AI tools and best practices.

Education:

• Bachelor's degree in computer science, Engineering, Information Technology, Mathematics, Statistics, Physics, or a related field
• Nice to have: Master's or Ph.D. in a relevant field.
• Nice to have: Industry certifications in AI, machine learning, or cloud platforms.

Experience:

• 3+ years of experience developing and deploying AI / machine learning solutions.
• Demonstrated experience deploying AI systems into production environments.
• Experience collaborating with cross-functional teams to translate business requirements into scalable AI solutions.
• Experience mentoring, training, or enabling other developers, analysts, or business users on AI tools, models, or best practices.

Core Technical Skills:

• Strong proficiency in Python for AI and machine learning development
• Hands-on experience with ML frameworks and libraries such as PyTorch, TensorFlow, and scikit-learn.
• Experience with NLP and document-centric AI, including OCR and document processing, Document classification and entity extraction, Text summarization
• Solid experience with data preprocessing, feature engineering, and analysis using tools such as: Pandas, NumPy, Matplotlib, Seaborn
• Experience working with cloud-based AI platforms, preferably Microsoft Azure or AWS
• Proficiency in SQL and experience with relational and/or NoSQL databases
• Familiarity with containerization technologies such as Docker and/or Kubernetes
• Familiary with building LLM-based solutions: Chatbots and conversational AI, Prompt engineering and evaluation, Retrieval-Augmented Generation (RAG), Intelligent or semantic search
• Exposure to MLOps practices, including CI/CD pipelines for ML models, Model versioning, deployment automation, and monitoring.
• Familiarity with REST API development and integrating AI capabilities into backend systems.
• Experience contributing to shared AI components, development standards, or reference architectures.

Ways of Working:

• Experience working in Agile and/or Waterfall delivery environments.
• Experience collaborating with onshore and offshore teams.
• Strong communication skills, including the ability to explain AI concepts and trade-offs to non-technical stakeholders.