Integrate machine learning functionality with production applications in deployment. Utilize extensive understanding of ML/DL/RL (Machine Learning, Deep Learning, Reinforcement Learning) as well as mathematical understanding of deep neural network training techniques to solve complicated and challenging problems. Use major deep learning tools such as DL4J, TensorFlow, RAY, and experiences in design architectures of both front and backend to assist the development of DL workflow and commercial grade software.
Position requires a Bachelor’s in Computer Science, Computer Engineering, Machine/Deep Learning Engineering or similar field, plus 5 years of experience as a Software Engineer, Deep Learning Engineer, Backend Software Engineer or similar profession.
The position also requires:
- 5 years of experience with ML/DL/RL.
- 3 years of experience with end-to-end workflow of field engineering projects.
- 3 years of experience working with major deep learning tools, including experience with at least one of the following: DL4J, Tensorflow, or ray.
- 5 years of experience developing and creating code base for software in development.
Please send resume to: firstname.lastname@example.org and reference job code SLE-001 in the subject line.