Remote Senior AI Engineer: Build Production ML at Scale
Tiger Analytics
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Job summary
Tiger Analytics is seeking a Senior AI Engineer to design, develop, and deploy cutting-edge AI solutions that deliver business value for clients. You will work with cross-functional teams to define requirements and metrics, ensuring production-ready models and scalable solutions.
The role requires 5+ years in AI/ML, strong Python skills, and experience with TensorFlow/PyTorch. Cloud experience (AWS/GCP/Azure) is expected, with a focus on delivering business impact.
Qualifications
- Master's or PhD in CS/ML/AI or related field.
- 5+ years of AI/ML development with production deployment.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud AI services (AWS, GCP, or Azure).
Responsibilities
- Design and implement AI algorithms and models to solve real-world problems.
- Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions.
- Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes.
- Develop technical documentation as well as customer-facing documentation and presentations.
- Stay updated with the latest research and trends in AI and propose innovative ideas to improve offerings.
Skills
Education
Tools
Job description
Tiger Analytics is seeking a Senior AI Engineer to design, develop, and deploy cutting-edge AI solutions that deliver business value for clients. You will work with cross-functional teams to define requirements and metrics, ensuring production-ready models and scalable solutions.
The role requires 5+ years in AI/ML, strong Python skills, and experience with TensorFlow/PyTorch. Cloud experience (AWS/GCP/Azure) is expected, with a focus on delivering business impact.
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