Company Type: Public Company Size: 5,001-10,000 employees
Design and develop software as scalable architectures, reusable components, API’s and systems
Identify and refine project requirements, solutions to potentially abstract AI challenges, and well-defined performance metrics
Translate project requirements into executable roadmaps for creating and measuring technical capability
Work with deep learning models. Optimize/ customize/ refine them
Leverage automation, cognitive and ML-based techniques to predict scenarios and prescribe actions
Staying up-to-date with cutting edge computational techniques, including machine and deep learning developments and integrating these techniques into projects
- Business global view
- Communication and influence
- Customer orientation
- Flexibility and globalization
- Innovation and inventiveness
- People development
- Results achievement and continuous improvement
- Team Work
- Team management
Skills And Requirements
Bachelor’s degree in computer science/machine learning, information systems or a related study, or equivalent related project experience. 3 to 5 Years (minimum)
This software developer role will be responsible on innovative initiatives relating to Cognitive, Artificial Intelligence and Machine Learning to navigate the future with confidence to deliver enterprise value in a dynamic business environment.
AVANGRID IT Digital team leverages the power of cognitive technologies to optimize the complex business processes that helps our business by architecting organizational intelligence programs and differentiated strategies to run their business process more efficiently.
This role will also contribute the innovation effort in IT AVANGRID team, identifying innovation ideas, supporting the execution of PoCs and managing all the documentation required for the Innovation process compliancy, in collaboration with AVANGRID Corporate Innovation team and in coordination with Global IT Innovation counterpart.
Ability to transfer project requirements into robust software components and architectures
Two to three years of experience with Artificial Intelligence, Quantitative and Qualitative Analytics, Deep Learning, Machine Learning and Natural Language processing.
Good knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks and machine learning.
Experience with one of the following: Theano, Tensorflow, Caffe, or any other deep/ machine learning framework preferred.
Ability to formulate hypotheses, draw conclusions and deliver results
Experience working with datasets, and strong interest in deep data analysis
Management of a wide range of technologies and associated vendors.
Willingness and ability to travel internationally.
Good oral and written communication skills.
Strong problem solving and analytical skills.
Strong Interpersonal and Communication Skills.
Must be a proven team player to work, promote and consolidate efficient team working relationships.
Exceptional interpersonal skills, including teamwork, facilitation and negotiation.
Strong leadership skills.
Excellent written and verbal communication skills