Machine/Deep/Reinforcement Learning Engineer

DGB has complex challenges that needs to be solved to improve the quality of life of its customer across globe. If you are interested in using the disruptive technology of Machine/Deep/Reinforcement learning to transform the established industry and build cool product, then “let’s get talking”. The AI development group at DGB is looking for technology thought leaders who are highly technical, hands-on and ready to lead from front.

Job Responsibilities

• Unique opportunity to build and drive adoption of machine/deep/reinforcement learning based product into next generation DGB products.
• Develop new frameworks and applications in diverse areas like Cloud, IoT, Web, Social etc.
• Provide thought leadership to the organization on frameworks, architecture, security related to big data and deep learning.
• Continuously research and evaluate advances in AI frameworks and algorithms and find use cases fitting DGB business for its adoption.

Required Skill Set

• MS/BS in Computer Science, Computer Engineering or similar fields.
• Minimum 1 years of experience in the area of deep/machine/reinforcement learning.
• Expertise in machine learning, deep neural networks, convolutional neural networks, random forests, classifiers, feature representations, probabilistic programming, and/or related techniques.
• Experience with one or more deep learning frameworks such as Caffe, Theano, Torch, TensorFlow, MXNet.
• Experience with one or more general purpose programming languages including but not limited to C/C++, Linux, Python, R, Scala, and Java programming languages.
• Hands-on experience in building prototypes to validate proof-of-concepts and collaborate with business units to adopt the concept to drive growth and create long term value.

Preferred Additional Skills

• Exceptional communications skills – written and verbal
• Publishing record in Deep/machine/reinforcement learning, security, software architecture and have strong tie-up/network with experts/academics/researcher.
• Team player and great collaborator.
• Experience working with an international team spread across geography.

To Apply

Send your resume at [email protected]