Senior Machine Learning Engineer, Cloud Computing Technologies Agile Development Labor Rate responsibilities includes overseeing designs and implementations of junior machine learning engineers. Assist the implementation and deployment of systems used for data collection, machine learning model training, and deployment of machine learning models. Apply machine learning techniques on vast data sets. Run small scale experiments with new algorithms and scale it up to MapReduce scale. Build highly parallelized, big data, machine-learning applications in the cloud. Integrating new software modules into the autonomous vehicle framework. Testing developed modules in the prototype vehicle (unit tests, integration tests, in-vehicle/field tests, etc.) Maintaining as well as further enhancing existing machine learning modules for autonomous vehicles. Analyzing and evaluating conducted tests Managing complexity, risks and benefits associated with releasing an AI-driven product feature. Owning and expanding the codebase for AI experiments in Python. Prototyping AI solutions iteratively in fast cycles of experimentation and consolidation. Owning the continuous integration development process with best practices, data and code versioning, experiment tracking. Develop cutting edge machine learning solutions at scale to solve computer vision problems in the domain of media, entertainment and sports. Collaborate with media houses and broadcasters across the globe to solve niche problems in the field of post-production, archiving and viewership. Manage a team of highly motivated engineers to deliver high-impact solutions quickly and at scale. Experience in implementing Deep Learning Solutions (Computer Vision, NLP etc.) Ability to quickly learn and communicate the latest findings in AI research. Work alongside software developers and software engineers to translate algorithms and incorporate them into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analysis using descriptive statistics and other methods. Develop analytics to address customer needs and opportunities. Work with data engineers on data quality assessment, data cleansing, and data analytics. May have a Bachelor’s or higher Degree in Computer Science, Mathematics, Statistics, related field; with 15+yrs of experience in Industrial application or software development or equivalent experience. Have strong software engineering background in Python, proven autonomy at extracting data and coding end-to-end AI solutions, passion for building a system from the ground up, and proven independence and self-drive. Start-up experience.
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