Responsibilities:
- Drive design for AI and ML related model pipelines, and services.
- Collaborate with teams, including partners, to identify opportunities for developing end-to-end AI architectures for diverse industry scenarios.
- Experience in applying state-of-the art AI algorithms to real-world problems.
- Stay up to date with the latest developments in AI and related fields, evaluate new developments and technologies for potential integration into architecture.
- Provide solutions that foster ML Engineer developer productivity.
- Lead the development and deployment of machine learning models, deep learning algorithms, and other AI/ML techniques. Ensure best practices for model training, testing, and validation are followed.
Requirements:
- Understand and hands-on experience developing ML models ranging from regression to deep neural networks including LLMs.
- Experience building and scaling platform-centric infrastructure is desired.
- Experience working with ML Ops pipelines
- Familiarity with modern techniques for Language Understanding, and other Machine Learning and AI technologies
- Work well with local and global team of engineers, researchers, and product managers.
- Master's degree in computer science, Electrical Engineering or related fields with focus on AI and machine learning.
- 3 or more years of experience in Artificial Intelligence and Machine Learning
- Experience with AWS, Google or Azure is Required
- Experience modern ML pipelines using Kubeflow, KServe, Hugging Face, and similar toolkits.
- BA/BS or equivalent educational background, we will consider an equivalent combination of relevant education and experience
- Minimum 3+ years of relevant professional experience
- BA/BS or equivalent educational background, we will consider an equivalent combination of relevant education and experience
- Minimum 2+ years of relevant professional experience
- BA/BS or equivalent educational background, we will consider an equivalent combination of relevant education and experience
- Minimum 5+ years of relevant professional experience