• Communicate with management, medical partners, business partners and customers to gather and summarize requirements of the products.
• Analyze competitor landscape, markets, competitive landscape.
• Conceptualize product features that will position Perceptra as a strong player in the market. Drafting diagrams, spreadsheets, and slides that will convey the features as clear as possible for internal and external communication.
• Define product development targets and milestones from model development to user interface to integration. Communicate with teams across departments about product goals and milestones.
• Design the product management workflow, establish meeting protocols. Communicate across teams about meetings. Prepare agenda, confirm meetings, and host the meetings.
• Keep track of product schedule, milestones, deliverables. Following up with designers, development and AI team on their progress.
• Create executive summary report to communicate with management team and external partner. Work closely with each team lead to populate the report with meaningful data.

Roles and Responsibilities

• Develop, test, and deploy Inspectra application and API infrastructure built with Django framework and AWS platform.
• Develop, test, and deploy on-prem applications to work with deep learning services and cloud API.
• Iterate the product according to market demands and customers’ requirements. Fix bugs and handle changes for on-cloud and on-prem system.
• Configure different part of our system such as our system monitoring tool, analytic dashboards, CI/CD, process scheduler, and in-house image archiving system.
• Design and implement security measures for health information transit that complies with regulations.
• Create related technical documentation for the project to communicate with fellow engineers.
• Contribute to the engineering culture and knowledge sharing.

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Roles and Responsibilities

• Analyze and improve the performance of AI models by:
  • Adding updated training samples and annotations to the training dataset
  • Applying state-of-the-art architectures, modules, or learning methods, that are presented in recent computer vision or deep learning papers.
  • Utilizing advanced image processing techniques to improve the generalization performance of AI models.
• Apply coding skills to:
  • Analyzing and improving the efficiency, scalability, and stability of training, validation, and inference pipeline
  • Adapting the training pipeline to best exploit modern parallel environments such as distributed clusters
  • Research, design and develop deep learning and computer vision algorithms to detect a wide variety of medical conditions from image and textual data.
• Support internal large-scale inference activities.
• Fast prototyping of AI models for new medical problems.
• Investigate problems with models during the product development and after product launch.
• Perform unit testing and integrated tests to support accurate and high-performance productions of AI models.
• Read and implement algorithms publications in the field of deep learning and computer vision, as well as publish your own work, and contribute to the community via conferences/meetups etc.
• Perform analytic tasks. For example, analyzing models’ usability from the user experience standpoint, performing statistical tests to convey models’ usefulness to medical professionals
• Participate in long term research efforts, and build excellence in the field of deep learning for imaging data. Keep yourself up to date with the latest practice.
• Contribute to the team’s methodologies, best practices and toolset, share your work and give/receive feedback from peers in the team.

Roles and Responsibilities

• Implement and hold the responsibility for the private/public cloud, containers, VMs, infrastructure and related platforms such as Kubernetes, AWS, Jenkins or similar CI systems.
• Implement, manage and maintain support the automation workflows for testing, deployment. Performance management and capacity planning.
• Enable the continuous improvement of structure, processes, tooling to enable the teams to deliver more value. Diagnose problems and act in solving complex issues by ensuring that developed fixes are permanent, in the context of a continuous improvement mindset.
• Pair with development teams to coach, design and develop automated software deployments which reduce the release duration while decreasing the percentage of software release failures.
• Create sufficient documentation and services to create and/or enhance ‘self-service’ facilities such as CI/CD pipelines, AWS, monitoring (Grafana), Docker, Kubernetes, etc.
• Provide input to infrastructure design according to the microservices practices.
• This is a hands-on role working collaboratively with development and operations to enable stability and speed in an Agile development environment. Design and implement build, deployment, and configuration management. Manage and monitor all installed systems and infrastructure. Maintain security, backup, and redundancy strategies
• Ensure that appropriate documentation and training is delivered to junior team members.

Roles and Responsibilities

• Be the interface between Perceptra’s tech team, customers, and partners in solution delivery projects.
• Maintain a detailed technical understanding of our AI solution and design the right solution architecture that fits customers.
• Lead, design, and implement technical integration efforts with Perceptra’s customers.
• Ensure that Perceptra’s quality of service is aligned with the medical industry’s standard in terms of security and interoperability.
• Communicate with customers facing technical issues and lead the team to fix bugs swiftly.
• Improve Perceptra’s solution delivery process.

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Roles and Responsibilities

• Generate and evaluate leads from prospect list
• Nurture leads by educating and supporting leads with sale documents
• Drive adoption to meet or exceed quarterly and annual revenue targets
• Gather customer requirements and summarize in electronic report on a weekly, monthly, and quarterly basis
• Services existing accounts, follow up to renew subscription, and establishes new accounts by planning and organizing weekly work schedule to call or meet existing or potential customers
• Provide customers quotation by referring to price lists and product literature.
• Maintain a robust sales pipeline including opportunities in existing accounts as well as driving net new business in untapped customers
• Adjusts content of sales presentations by studying the product features and use cases
• Keeps management informed by submitting activity, results reports and CRM status. (such as daily call reports, weekly work plans, and monthly and annual territory analyses)
• Maintains professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, and participating in professional societies.
• Assist teams on any necessary agreement and accounting process.