Work Location: Philippines
Work Experience: 8 to 10 Yrs
As a Principal AI Engineer, you will play a critical role in the design, development, and deployment of AI platform. You will work collaboratively with a cross-functional team, focusing on MLOps, machine learning standardization, GPU and cloud platform setup, and data integrations. Your expertise will be pivotal in ensuring the scalability, reliability, and efficiency of our AI solutions.
Key responsibilities:
- 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.
Qualifications:
- Experience: 8-10 years of experience in AI and machine learning engineering, with a proven track record of delivering complex AIprojects.
- 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