Principal AI Engineer

10 hours ago

Taguig, National Capital Region, Philippines Capgemini Philippines Corp. Full time ₱2,000,000 - ₱2,500,000 per year

Choosing Capgemini means choosing a company where you will be empowered to craft your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reinvent what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more balanced, more inclusive world

YOUR ROLE:

Platform Development: Lead the design and development of a scalable AI platform, ensuring high performance and reliability.

MLOps: Implement and optimize MLOps practices to streamline the machine learning lifecycle, from development to deployment and monitoring.

Standardization: Establish and enforce best practices for machine learning model development, testing, and deployment.

Infrastructure Setup: Oversee the setup and management of GPU and cloud platforms to support AI workloads.

Data Integration: Design and implement robust data integration pipelines to ensure seamless access to diverse data sources.

Collaboration: Work closely with data scientists, software engineers, and platform engineers to deliver high-quality AI solutions.

Innovation: Stay abreast of the latest advancements in AI and machine learning, and apply this knowledge to improve our platform and processes.

Mentorship: Provide technical guidance and mentorship to junior engineers and team members.

YOUR PROFILE:

Experience: 8-10 years of experience in AI and machine learning engineering, with a proven track record of delivering complex AI projects.

Technical Expertise: Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), MLOps tools (e.g., MLflow, Kubeflow), and cloud platforms and infrastructure as code (e.g., AWS, Azure).

GPU Expertise: Hands-on experience with GPU computing and optimization for AI workloads.

Programming Skills: Proficiency in programming languages such as Python, Java, or C++.

Data Engineering: Strong skills in data engineering, including data integration, ETL processes, and working with large datasets.

Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively.

Communication: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment.

What you'll love about working here?

We promote Diversity & Inclusion as we believe diversity of thought fuels excellence and innovation.

In Capgemini, we enable people to be the architects of their career growth. We equip people in augmenting their potential by providing wide array of career growth programs that empower them to get the future they want.

Capgemini fosters impactful experiences for its people that would aid in bringing out the best in them for them, for the company, and for their clients.

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