Senior AI Engineer - Remote, Real-World AI Solutions

Tiger Analytics; Jersey City (NJ); Remote; USD 130.000 - 180.000; Vollzeit

Zusammenfassung

Tiger Analytics is seeking a Senior AI Engineer to design, develop, and deploy state-of-the-art AI solutions that deliver measurable business impact. You will work with cross-functional teams to define requirements, metrics, and success criteria while ensuring production readiness of AI models.

Ideal candidates bring 5+ years in AI/ML, strong Python skills, and experience with TensorFlow, PyTorch, and Scikit-learn, plus cloud services like AWS, Google Cloud, or Azure.

Qualifikationen

• Master's or PhD in Computer Science, ML, AI or related field.
• 5+ years of AI/ML development with production deployment experience.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Experience with cloud services (AWS, Google Cloud, Azure).
• Strong ability to translate business requirements into technical solutions.

Aufgaben

• Design and implement AI algorithms and models to solve real-world problems.
• Collaborate with data scientists, data engineers, and business analysts to define requirements and propose AI solutions.
• Monitor performance of AI models in production and iterate to improve outcomes.
• Develop technical and customer-facing documentation and presentations.
• Stay updated with AI research and trends to enhance offerings.

Kenntnisse

Python

TensorFlow

PyTorch

Scikit-learn

Cloud computing

Communication

Problem solving

Ausbildung

Master's or PhD in Computer Science / ML / AI

Tools

Git

Docker

MLOps

CI/CD

Jobbeschreibung

Tiger Analytics is seeking a Senior AI Engineer to design, develop, and deploy state-of-the-art AI solutions that deliver measurable business impact. You will work with cross-functional teams to define requirements, metrics, and success criteria while ensuring production readiness of AI models.

Ideal candidates bring 5+ years in AI/ML, strong Python skills, and experience with TensorFlow, PyTorch, and Scikit-learn, plus cloud services like AWS, Google Cloud, or Azure.