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The Applied Research & Technology (ART) department works with teams around the globe, collaborating with them towards building prototypes, demonstrators, and new products, thereby enabling better innovation and business outcomes for Collins Aerospace.
The Emerging Technologies team, part of ART, pursues advanced, emerging, and disruptive technologies and methods relevant to multiple strategic business units (SBUs) with a focus on AI/ML, AR/VR, Cloud and Advance Software Engineering methods.
Position Overview:
We are seeking a highly motivated individual who is ready to grow and develop the ART - Emerging Technologies team. The individual will be responsible for providing Technical Leadership to multiple advanced and disruptive technology projects with different stakeholders around the globe. The individual will also be responsible for guiding the teams towards delivering successful Proof of Concepts, Technology Demonstrators and New Product Development.
We are also looking for a candidate who is passionate about AI/ML technology development. The candidate should have a strong background in developing AI/ML applications and should have a good knowledge of Aerospace products & services. The candidate needs to be an active communicator, a good influencer and fluent in the dynamic and everchanging environment of the research and innovation domain.
Primary Responsibilities:
Key Competencies & Skillsets:
Basic Qualifications:
Job ID: 112051713
Skills:
Exploratory Data Analysis, Sql, Tensorflow, Nosql, Azure ML, Pytorch, XGBoost, Python, Etl, data preprocessing, ML model evaluation, Scikit-learn, MLflow, Vertex AI, Kubeflow, feature engineering
Skills:
containerisation with Docker, secrets management, pipeline automation with Azure DevOps, networking and load balancing, relational and non-relational databases, developing production-grade backend services using Python, asynchronous programming frameworks, cloud provisioning frameworks such as Terraform or CloudFormation, infrastructure-as-code, LLM API gateway technologies, container orchestration such as ECS Fargate, identity and access management technologies, observability and monitoring tools, multi-provider integration across major cloud AI platforms