Job Description :
We are seeking a versatile machine learning engineer. Degrees and formal qualifications are great, but relevant experience and a proven track record to deliver are most important.

Responsibilities include:
- Working in a collaborative R&D environment with Data Scientists and Research Engineers, to design and develop new capabilities
- Developing highly scalable models and tools leveraging a wide variety of machine learning techniques
- Working with the team to plan and prioritize projects, with emphasis on identifying important engineering requirements needed for successful deployment within aggressive timelines
- Adapting standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)

Additional Job Details:   

Nice to have skills: - Using Kubernetes to deploy C++ TensorFlow models
Experience deploying other deep learning frameworks to production
TensorFlow Serving - Experience with graph databases
Experience coding in CUDA

Minimum Required Skills             
Nice to have skills:
Using Kubernetes to deploy C++ TensorFlow models
Experience deploying other deep learning frameworks to production
TensorFlow Serving
Experience with graph databases
Experience coding in CUDA

Minimum Education Requirement          
We are seeking a versatile machine learning engineer. Degrees and formal qualifications are great, but relevant experience and a proven track record to deliver are most important.

Client : Intelliswift