Principal AI Engineer

3 days ago

Manila, National Capital Region, Philippines Capgemini Full time ₱1 - ₱2 per year

Choosing Capgemini means choosing a company where you will be empowered to shape 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 reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description
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.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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