AI Interface developer Job Vacancy in Collins Aerospace Bengaluru, Karnataka – Updated today
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Company Name : Collins Aerospace
Location : Bengaluru, Karnataka
Position :
Job Description : AI Interactions Engineer – Interface Developer
The Artificial Intelligence team is an application delivery execution team within the Digital Technology (DT) central function that builds value through machine learning and artificial intelligence digital services. The team works with senior leaders to discover previously hidden insights and enables a new generation of connected intelligence and digital transformation through innovation in deep learning and artificial intelligence. The team’s innovation provides a competitive advantage, solves business problems and impacts how we run our business.
The Artificial Intelligence team is currently searching for an AI Interactions Engineer to join our team. This position supports the DT Center of Excellence, scaling machine learning across the enterprise through Enterprise ML tools/processes and development/support of AI applications and products, specifically the design and development of human to algorithm interfaces.
Responsibilities:
Deploy and maintain front-end AI applications and solutions. Technologies may include dashboards, web applications, machine learning platforms, online digital exchanges. Implement effective and compelling AI interfaces, integration with BI interfaces, integration with web/mobile applications and algorithm/model deployment at the edge in partnership with other DT development teams. Support the development of AI applications and products, specifically the interaction, engagement and experience portion of an AI pipeline. Solutions include vision, speech, gesture, touch, robotics, and advanced search technologies. Coordinate activities to improve company AI literacy, including training, education and knowledge sharing of AI products, services, tools, stakeholders and processes across the enterprise.
Basic Qualifications:
Experience designing and building front-end solutions Experience working with Jupyter Notebooks or similar Technical education and experience in artificial intelligence, machine learning, or data science Ability to work in a large and matrixed corporate environment Exceptional interpersonal and leadership skills Ability to work with, and influence, all levels of management Excellent written and verbal communication skills Strong time management and prioritization skills Energetic and have an excellent work ethic Desire and ability to quickly learn and apply new concepts
Preferred Qualifications:
Experience with third-party AI/ML platforms like DataIku, DataBricks, Sagemaker, AutoML, etc Working knowledge of ITSM processes Proficient managing, querying, and reporting in ServiceNow Experience using development tools/environments such as aws, python, linux, ubuntu, pandas, numpy, bash, conda, pip, vs code, spyder, github, databases, tensorflow, gpu’s. Experience with software development process such as software/systems engineering, MLops, technology requirements capture, technical design, data administration, code optimization, source control, devops, data science and analysis.
AI Interactions Engineer – Interface Developer
The Artificial Intelligence team is an application delivery execution team within the Digital Technology (DT) central function that builds value through machine learning and artificial intelligence digital services. The team works with senior leaders to discover previously hidden insights and enables a new generation of connected intelligence and digital transformation through innovation in deep learning and artificial intelligence. The team’s innovation provides a competitive advantage, solves business problems and impacts how we run our business.
The Artificial Intelligence team is currently searching for an AI Interactions Engineer to join our team. This position supports the DT Center of Excellence, scaling machine learning across the enterprise through Enterprise ML tools/processes and development/support of AI applications and products, specifically the design and development of human to algorithm interfaces.
Responsibilities:
Deploy and maintain front-end AI applications and solutions. Technologies may include dashboards, web applications, machine learning platforms, online digital exchanges. Implement effective and compelling AI interfaces, integration with BI interfaces, integration with web/mobile applications and algorithm/model deployment at the edge in partnership with other DT development teams. Support the development of AI applications and products, specifically the interaction, engagement and experience portion of an AI pipeline. Solutions include vision, speech, gesture, touch, robotics, and advanced search technologies. Coordinate activities to improve company AI literacy, including training, education and knowledge sharing of AI products, services, tools, stakeholders and processes across the enterprise.
Basic Qualifications:
Experience designing and building front-end solutions Experience working with Jupyter Notebooks or similar Technical education and experience in artificial intelligence, machine learning, or data science Ability to work in a large and matrixed corporate environment Exceptional interpersonal and leadership skills Ability to work with, and influence, all levels of management Excellent written and verbal communication skills Strong time management and prioritization skills Energetic and have an excellent work ethic Desire and ability to quickly learn and apply new concepts
Preferred Qualifications:
Experience with third-party AI/ML platforms like DataIku, DataBricks, Sagemaker, AutoML, etc Working knowledge of ITSM processes Proficient managing, querying, and reporting in ServiceNow Experience using development tools/environments such as aws, python, linux, ubuntu, pandas, numpy, bash, conda, pip, vs code, spyder, github, databases, tensorflow, gpu’s. Experience with software development process such as software/systems engineering, MLops, technology requirements capture, technical design, data administration, code optimization, source control, devops, data science and analysis.
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