Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Cognitive Engineering Exec

Summary:

As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with various teams to ensure the integration of AI solutions into production-ready applications, while also exploring innovative approaches to implement generative AI models and other advanced technologies in your projects.

Roles & Responsibilities:

Expected to be an SME.

Collaborate and manage the team to perform.

Responsible for team decisions.

Engage with multiple teams and contribute on key decisions.

Expected to provide solutions to problems that apply across multiple teams.

Facilitate knowledge sharing and best practices among team members.

Monitor project progress and ensure alignment with strategic goals.

Identify opportunities for process improvements and implement effective solutions.

Professional & Technical Skills:

Required Skill: Expert proficiency in AI Architecture.

Strong understanding of machine learning algorithms and their applications.

Experience with cloud-based AI services and deployment strategies.

Proficiency in programming languages such as Python and R.

Familiarity with data processing frameworks and tools.

Experience in developing and deploying deep learning models.

Additional Information:

The candidate should have minimum 7 years of experience in AI Architecture.

This position is based at our Manila office.