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We are looking for a motivated and enthusiastic Data Science Student to support our AI and data management efforts. The role involves data collection and preparation, Deep Learning models architecture design, implementation, training, and evaluating algorithm results mainly in the medical imaging domain. Additionally, you will help with other data-related tasks as needed to support our operations. What you will be doing : Data Collection: Gather, organize and prepare (including augmentation) data from various storage locations using tools such as Excel and Python scripting. Develop python code for automatic data collection. Deep Learning Models – Implementation and Training: Analyze to decide what kind of model to use, implement it, train it and adapt to improve the model results. Evaluate Model Results: Visually and empirically assess AI model and other computer vision algorithms outputs, providing feedback and scoring to improve model performance. Assist in Other Data Related Tasks: Organize data from different sources, clean it and implement automatic data collection and preparation pipeline scripts. · Working according to Insightec Quality Policy, relevant Quality Procedures & Standards, and privacy & safety rules.

We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. We're looking for a mid-level engineer to join the team building our S3-compatible object Storage, purpose-built for the throughput and latency demands of AI - including GPUDirect Storage integration for direct data movement between Storage and GPU memory.
Responsibilities:
* Native filesystem-level code interfacing with our Storage backend 's C API, bridged into our Go services via CGO.
* Low-level file and metadata operations: file handles, attributes, locking, and concurrent access patterns typical of a production filesystem.
* Correctness-critical logic around partial failures and rollback - ensuring operations that fail partway through don't leave the system in an inconsistent state.
* Concurrency and locking correctness across operations that touch shared filesystem state.
* Debugging and root-causing issues using system traces and logs, tracing behavior across distributed components.

abra is seeking an customer success manager to join our team . We are looking for a Customer Success Manager (CSM) responsible for managing and growing strategic customer accounts while delivering an exceptional customer experience. The primary objective of this role is to drive customer value and sustainable growth for Abra cloud. The CSM will develop strong business, technical, and personal relationships with customers, leveraging a deep understanding of their industry, business objectives, technology environment, and challenges. By serving as a trusted advisor, the CSM ensures customers maximize the value of their partnership with Abra cloud. Key Responsibilities:
* Partner with customer stakeholders to identify objectives, challenges, priorities, and success metrics, translating them into annual business plans and measurable KPIs.
* Execute against customer plans by coordinating the appropriate technical, operational, and financial resources to ensure an outstanding customer experience.
* Identify opportunities for customers to accelerate their business outcomes through AWS cloud technologies and Abra cloud services.
* Advise customers on available cloud funding and credit programs to unlock additional value.
* Maintain an accurate sales pipeline and successfully close growth opportunities.
* Promote participation in customer satisfaction and NPS surveys.
* Participate in Quarterly Business Reviews (QBRs) and provide clear summaries of customer engagement and progress.