Salman Esmaili

Such a key capability for Enterprises to unlock the value in sensitive data. #Azure #AI Confidential Inferencing is now preview. Great to see RBC #Canada mentioned at the forefront of Azure Confidential Computing innovation. https://lnkd.in/gUt3MZS5

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Technical Director - ML Solutions @ Electronic Arts by via ai-jobs.net ([Global] oracle cloud) URL: https://ift.tt/7PDCsA5 Who We Are Game Production Solutions (GPS) is a new division in Creative Technologies at Electronic Arts. In the GPS group, we build solutions for our customers (Game Teams / Creators). We empower game creators to make an outsized impact with our technology. Your Work With Us We are working on projects related to generative AI and Machine Learning, focused on Generative AI for game assets. The platform we are building is to power Generative AI for game creators across EA. We are using powerful models fine-tuned and adapted for asset creation, where performance, ease of use, and security are priorities. This role reports to the Senior Technical Director. Responsibilities Team Management: Lead a small but dynamic team of ML Platform and Ops Engineers,, and Software Engineers, promoting an atmosphere of innovation and collaboration. Partnerships and Collaboration: Collaborate with Product Managers, Tech Artists, Software Engineers, and DevOps engineers to identify requirements. Solution Architecture: Work with engineers in the team to architect backend services to power our generative AI/ML platform, ensuring performance, scalability, and security. Document technical specifications and system designs for future reference. Technical Decision-making: Use your expertise to arbitrate technical decisions for the engineering team, and articulate/define the WHAT, HOW, and (in partnership with Product Management) WHY for our technology roadmaps. Technical Leadership and Mentorship: Provide technical mentorship and guidance to junior engineers, promoting an environment of learning and improvement. Create and share best practices within the team. Participate in code reviews and provide constructive feedback to team members. Quality & Code Reviews: Review completed engineering deliverables before release, ensuring that they meet our standards of quality and reliability. Risk Management: Identify potential technical risks and manage them, implementing mitigation strategies. Broad Technical Understanding: Develop an understanding of EA’s game technologies, engines, and strategies, ensuring that our development is aligned with EA’s broader goals. Coding and Debugging: You will write clean, well-structured, and maintainable code that follows best practices. You will also troubleshoot and debug issues to ensure smooth functioning of all of the services. Qualifications 3+ years of experience as a People Manager and 8+ years of experience as a Software Engineer, with increasing levels of responsibility. Mentor, coach, and aid in the development of team members. Set clear goals, and deliver them on time / at quality. Negotiate with partners, vendors, and customers (game teams / game creators / Tech Artists / Product.) Experience architecting and coding backend/online services. Experience working with cloud...

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Data Engineer @ Lyft by via ai-jobs.net ([Global] Oracle Advanced Analytics) URL: https://ift.tt/NWciOz5 At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Lyft thrives on community—it's the essence of who we are and what we do. Our commitment to fostering an open, inclusive, and diverse environment is paramount, ensuring every team member is valued for their unique contributions. At Lyft, data isn't just part of our decision-making process; it's the foundation. It drives our ability to deliver exceptional transportation experiences and offers insights into the impact of our product launches and features. Joining Lyft as a Data Engineer means becoming a pivotal part of a team dedicated to shaping the future of transportation. You'll be tasked with developing robust data infrastructure—encompassing data transport, collection, and storage—and providing services that enable our leadership to make informed, risk-reducing decisions. We're in search of a Data Engineer to construct a scalable insurance data pipeline that will inform our financial strategies. Collaborating closely with our claims engineering, actuarial, and science teams, as well as our insurance partners, you'll lead the charge from technical proposal to final implementation. This role involves clear communication of technical challenges to both our internal teams and external partners, ensuring a cohesive approach to problem-solving. As the steward of our core data pipeline, which underpins Lyft's key metrics, you'll leverage your data expertise to refine data models and spearhead the creation and launch of scalable data pipelines. These efforts will support Lyft's expanding needs in insurance data processing and analytics, providing critical business and user behavior insights. With access to vast amounts of Lyft data, your work will empower teams across Analytics, Data Science, Engineering, and beyond, driving innovation and growth. Responsibilities: Design and implement insurance and claim-related data pipeline to help optimize insurance operation strategies Tune ETL and MapReduce job to improve data processing performance Partner with external insurance partners and Lyft business stakeholders to ensure seamless execution within established timelines Owner of the core company data pipeline, responsible for converting the business and engineering need to efficient & reliable data pipelines Main contributor to the team roadmap and lead the team to make the right technical decisions Experience: 2+ years of relevant professional experience Strong experience with Spark Experience with Hadoop (or similar) Ecosystem, S3, DynamoDB, MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase, Parquet Strong skills in a scripting language (Python, Ruby, Bash) Good understanding of SQL Engine and able to conduct advanced perform...

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At the Formula 1 AWS GRAND PRIX DU CANADA 2024, AWS will debut the first-ever generative AI-inspired trophy. Tune in and witness the reveal of a world first. Learn more: How Amazon Web Services (AWS) used generative AI to design the FORMULA 1 AWS GRAND PRIX DU CANADA trophy: https://go.aws/4bLIV5t #AWS #AmazonWebServices #CloudComputing

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Check out this short lab on CloudFormation. #CloudWhistler #Cloudanaire #AWS #Cloudcomputing #CloudEngineer Ali Sohail Amir Malaeb Daniyal Nadeem Osinachi Okpara Kathryn Jones Kamalpreet KAUR

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AI is revolutionizing how we work, and Google Cloud is at the forefront of this transformation. We’re excited to bring the Gen AI Labs franchise to the Public Sector audience in Ottawa, targeting developers and practitioners who want to get hands-on with Google Cloud. At Gen AI Labs: Ottawa attendees can expect to be hands-on for 3+ hours: - Learning how to analyze documents, audio and video for insights, and process images, video, audio, and text simultaneously - Generating contextually relevant LLM responses using their own data - Discovering how Gemini can be used for code analysis and application development

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Since we launched DataSharing in Redshift, people really liked the efficient transactionally-consistent access to Redshift Managed Storage across Redshift compute environments, across accounts, even across regions. One of the main requests from the customers was to extend the read-only access to these live datasets, and support writes. Today we are excited to launch the general availability of multi-data warehouse writes in Redshift. #amazon #redshift #datasharing #multiwarehouse #writes #ga

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Although we are currently full, I'm excited to invite you to our next DevOps Vancouver Meetup! The critical role of Site Reliability Engineering (SRE) in DevOps cannot be overstated, and this event will highlight Best Buy Canada's journey in this field. In April, we hosted a dedicated Site Reliability event dedicated to practice at WorkSafeBC with Naveen Aggarwal, MBA, which was a huge success. This time, we are turning the spotlight on Best Buy Canada. Agenda: ✳ Site Reliability Practices at Best Buy Canada ✳ BB Observability Journey ✳ Reliability Platform Adoption Strategy ✳ From Dev to DevOps: Training Devs Across an Organization to Shift Right Event Details: Date: Tuesday, June 25th Time: 6:00 PM Location: In-person Our lineup features an incredible group of speakers from Best Buy Canada, including: Ethnor Jacob - Technology Manager Rod A. - Operations Engineer Nic Roland - Platform Development Engineer Sinoj Poovathumkal - Platform Development Engineer Marion Chimiack - Software Developer I'm particularly excited about this event because it's a fantastic opportunity to learn firsthand from experts who have successfully implemented SRE and observability practices at a leading company. Their insights and experiences will be invaluable for anyone looking to enhance their DevOps strategies. Even though the event is currently full, I encourage you to sign up on the waitlist. Spots may become available as attendees update their status. Don’t miss this chance to engage with industry leaders and deepen your understanding of SRE. Sign up now and stay tuned for updates! #DevOps #SRE #BestBuyCanada #Meetup #VancouverTech #Observability #ReliabilityEngineering https://lnkd.in/gSk-mYNn

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✍ Some good recommendations in this post from #aws:- - Federate your GitHub users and manage the lifecycle of identities through a directory. https://lnkd.in/gxJxiH_S 👥 - Limit administrative privileges of GitHub repositories, and restrict who is able to administer permissions, write to repositories, modify repository configurations, or install GitHub Apps. https://lnkd.in/gxmS9-C8 🛡️ - Limit control over GitHub Actions runner registration and group settings. https://lnkd.in/gba6yJMr 🏃‍♂️ - Limit control over GitHub workflows, and follow GitHub’s recommendations on using third-party actions. https://lnkd.in/gNrwiHA8 🔄 - Do not allow public repositories access to self-hosted runners. https://lnkd.in/g564YC-s 🚫 #githubactions #security #bestpractise https://lnkd.in/gNfyWRa5

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Love the following quote in this recent InfoQ article about our new built-in Gen AI actions: "Azure Logic Apps document parsing and chunking capabilities unlock many automation possibilities. These features, from legal workflows to customer support, allow businesses to harness AI for more innovative document processing. " <-- couldn't agree more

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Are you new to AI or looking to break into the field? Amazon Web Services (AWS) created an AI & ML Scholarship program in collaboration with Udacity to help students around the world learn foundational skills to prepare for careers in technology. Learn how Gedeon Baende, a recent program graduate, is building a solution to evaluate used EV batteries for second-life applications, reducing landfill waste. Watch his story below 👇🏽 and consider applying to the program: https://lnkd.in/gryXiPbf

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AWS Summit is coming to Toronto on Sept 11, 2024. 🇨🇦 And, I am thrilled to present alongside my colleague Sebastien Perreault on how to Accelerate GenAI and ML workloads with AWS Storage! Recent advances in AI and machine learning (ML), along with a market-driven shift to use AI across industries, are presenting a new set of storage challenges for many IT organizations. In this session, learn how AWS storage services deliver the building blocks for your ML workloads with high-performance, scalable storage that integrates with a wide range of AI/ML services to help you innovate faster and reduce costs. #AWSSummit #AIML #Storage #S3 #FSx #GenAI Join us at Toronto Summit | STG201 - Accelerate GenAI and ML Workloads with AWS Storage | Sept 11th, 2024 1PM - 2PM EST Register now, spots are limited - https://lnkd.in/dKrjSECG

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Incredibly proud of the latest Kinesis Client Library version (3.0) which, when compared to previous KCL versions, reduces compute costs by up to 33%. KCL 3.0 introduces an enhanced load balancing algorithm that continuously monitors resource utilization of the stream processing workers and automatically redistributes the load from over-utilized workers to other underutilized workers. This ensures even CPU utilization across workers and removes the need to over-provision the stream processing compute workers which reduces cost. Additionally, KCL 3.0 is built with the AWS SDK for Java 2.x for improved performance and security features, fully removing the dependency on the AWS SDK for Java 1.x. #Kinesis #DataStreaming #KCL

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Calling all IT leaders, developers, and practitioners! Ready to explore the future of data in the age of GenAI? Join Google Cloud for Database Day: Toronto on September 12th! **🔥 Here's what you can expect: ** Two tracks packed with insights: one for IT Leaders & Executives, and another for Developers & Database Practitioners. Expert-led sessions on topics like building GenAI apps with Google Cloud databases, maximizing PostgreSQL ROI, and mastering Cloud SQL. Hands-on labs and demos to level up your skills and connect with peers. Don't miss this chance to build your GenAI future. Register now - spots are filling up fast! #GoogleCloud #DatabaseDays #GenAI #DataInnovation

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AI uncovers the power of present tense in online reviews! University of Toronto researcher (and Research Innovator alumni!) used Google Cloud to analyze millions & found reviews written in present tense are seen as more helpful. ➡️ Read the full story #GoogleCloud #ResearchInnovator

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Users consistently tell us that managing the flow of state data in #stepfunctions workflows is hard. We've improved over the years, but this is a game-changer. JSONata is powerful & intuitive. Variables simplify by decoupling states. Can't wait to see what you build! https://lnkd.in/gf6QShDp

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Exciting news for generative AI application developers! Beginning today, customers can use Amazon Bedrock in the Canada (Central) region to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as powerful tools. Amazon Bedrock is a fully managed service that offers a choice of high-performing large language models (LLMs) and other FMs from leading AI companies. It also provides a broad set of capabilities needed to build secure, privacy-focused, and responsible generative AI applications. These capabilities help you build tailored applications for multiple use cases across different industries, helping organizations unlock sustained growth from generative AI while ensuring customer trust and data governance. Explore the infinite possibilities of Amazon Bedrock now! #AmazonBedrock #GenerativeAI #AIDevelopment https://lnkd.in/eXaDsfVS

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In collaboration with AWS, we are thrilled to announce the Confluent blueprint for Amazon OpenSearch Ingestion! This serverless feature enables customers to effortlessly transfer data from Confluent to OpenSearch Domains or OpenSearch Serverless collections. This capability unlocks numerous new use cases, such as Retrieval-Augmented Generation (RAG), real-time log analytics, and more. Read the full announcement, including a complete example of setting up a Confluent/OpenSearch pipeline using the new blueprint (with optional use of Schema Registry), here ➡️

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