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About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

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Strata Information Group (SIG) is a trusted leader in higher ‑ education technology consulting, supporting colleges and universities with ERP/SIS modernization, digital transformation, CRM, cybersecurity, and strategic advisory services. As a long ‑ standing and deeply embedded partner within the higher ‑ education sector, SIG brings together technical depth, operational insight, and a culture rooted in integrity, collaboration, and exceptional client service. Our heritage is built on hands ‑ on expertise, genuine relationships, and a commitment to delivering value with humility and excellence—values that continue to define us as we scale. Integration and Data Intelligence Delivery Lead- Technical Employment Type : Full-time Location : Pune, India (Remote, in-person training required) Work Hours : Flexible, with 3–4 hours of daily overlap with US Eastern morning Fixed Base Compensation Range: ₹50-58 LPA (Lakhs Per Annum) Overview The Integration and Data Intelligence Delivery Lead serves as a hands-on technical leader—specializing in higher education ERP environments—responsible for ensuring high-quality technical delivery, developing technical talent, and maintaining delivery consistency across the local technical team. This role operates as a player-coach, balancing direct client delivery responsibilities with leadership responsibilities that support team performance, technical excellence, and operational consistency. The Team Lead partners closely with the Practice Director, Project Managers, and Functional Leaders to ensure technical resources are effectively deployed, delivery risks are identified early, and technical solutions align with client needs. This role elevates technical execution while fostering collaboration, knowledge sharing, and scalable delivery practices across the team. Responsibilities Technical Delivery leadership & Subj

Strata Information Group (SIG) is a trusted leader in higher ‑ education technology consulting, supporting colleges and universities with ERP/SIS modernization, digital transformation, CRM, cybersecurity, and strategic advisory services. As a long ‑ standing and deeply embedded partner within the higher ‑ education sector, SIG brings together technical depth, operational insight, and a culture rooted in integrity, collaboration, and exceptional client service. Our heritage is built on hands ‑ on expertise, genuine relationships, and a commitment to delivering value with humility and excellence—values that continue to define us as we scale. Full Stack Engineer – Higher Ed Platforms Node.js / React · Client-facing designation: Technical Consultant Location: Pune, India (Hybrid) Reports To: Lead – India Center of Excellence Employment Type: Full-time (engaged through SIG’s Employer of Record in India) Experience: 3–5 years Working Hours: Flexible, with 3–4 hours of daily overlap with US Eastern morning About SIG Strata Information Group (SIG) is a US-based leader in higher-education technology consulting. We help colleges and universities modernize the systems that run their institutions — student information, HR, and finance — through ERP/SIS implementation, integration, digital transformation, CRM, and cybersecurity work. We are building our first engineering Center of Excellence in Pune. This is a founding-team role. You will not be joining a large delivery pool with a fixed process — you will help set how this team builds. The Role This is a software engineering job. You will spend most of your time writing and shipping code. You will take functional specifications and turn them into working software across three areas: application integrations, Experience Card development for user-facing functionality, and workflow automation using Ellucian’s workf

About the Role At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior Customer Engineer, you own the technical customer relationship end to end. You run discovery independently, design integration and agentic workflow architectures for complex enterprise problems, and deploy solutions live with customers — often before they know exactly how to articulate what they need. You write optimized, production-grade code at speed, grounded in strong data structures and algorithms fundamentals, because compressing the time from customer problem to working solution is how FDE delivers its value. You bring genuine innovation to hard problems — your solutions are technically sound, elegant, and often non-obvious. You are the primary technical contact for 2–4 major enterprise accounts, you mentor FDEs on the team, and you are building the skills that will take you into Staff-level technical leadership. What You'll Do Own complex integration and AI agent implementations end-to-end — from technical discovery through go-live and post-launch enhancement — as the primary technical contact for 2–4 enterprise accounts Design integration architectures with explicit attention to error handling, retry logic, observability, failure recovery, and multi-system authentication Design and deploy agentic AI workflows that orchestrate supply chain operations — from requirements through production, including regression testing and validation before each customer deployment Deploy AI agent workflows live with customers present — configuring and troubleshooting in the room during customer calls, not gathering requirements to build later Run customer discovery

!Staff Nurse Germany Freshers Welcome B.Sc Nursing / GNM! Greetings from Naya Jobs Consulting Pvt. Ltd.! We are hiring Staff Nurses for exciting career opportunities in Germany. Job Role Position: Registered Nurse Location: Germany Qualification: GNM / B.Sc Nursing / M.Sc Nursing Experience: Freshers & Experienced candidates can apply Salary: 2,600 2,800 per month (as per employer and experience) What We Offer German Language Training (A1 B2) Genuine Germany Placement Visa & Documentation Assistance Interview Preparation End-to-End Relocation Support Career Growth in Germany Attractive Salary & Benefits Eligibility GNM / B.Sc Nursing / M.Sc Nursing Good communication skills Willingness to learn German and relocate to Germany Know someone looking for a Germany nursing opportunity? Refer your friends and colleagues! Interested candidates can apply now or contact us for more details. +91 63809 22729 Role: Registered Nurse Industry Type: Facility Management Services Department: Healthcare & Life Sciences Employment Type: Full Time, Permanent Role Category: Nursing Education UG: Diploma in General Nursing And Midwifery, B.Sc in Nursing Key Skills Skills highlighted with are preferred keyskills Nursing Patient CareSurgicalOTOperation TheatreGynecologyGNMMidwiferyTamil NaduICUEmergencyB.sc Nursing

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We are doing bulk hiring for various IT positions998 96127 35 Hope you are doing well. We are Hiring fresher’s, who are passionate to build their careers in Software Hyderabad Location Walk-in with your Resume-Walkout with your offer letter Excellent Backdoor Openings Hyderabad Please read the job description very carefully before applying. Position Name: Software Developer Location Hyderabad Technologies: 998 96127 35 99::89::61::27::35(99Eight Nine6one two73five)998 961 2735 We have excellent resources on different technologies as mentioned below in a variety of domains. Please go through the below details and let me know(Nine Nine 8 Nine 6 l two seven three 5) Java, Dotnet, Testing, (Automation Testing With Selenium Testing) Pega,Python,Salesforce,Devops,AWS, SQL DBA, SAP BTP,ETLUI/UX DESIGNER,,JAVA SCRIPT,ANDROID DEVELOPER (KOTLIN, ANDROID STUDIO, FLUTTER),WEB DEVELOPER (JS, NODE JS, REACT JS),ETL,SAS..etc We are being genuine from our end please be serious from your end guys. Please make sure ready with your Updated Resume (99Eight +Nine6one -two73five).We Have an easy hiring process. Interested aspirants can share your updated resume with below details to mentioned mail id itjobs537@com for a quick response and immediate process.! +91 9989612735 (Pro tip : Keep an eye on your spam folder! Sometimes our messages like to hide among the sea of unwanted emails.)