Job Summary. You will join the Platform as a Service (PaaS) team, the backbone of our digital infrastructure. We manage a diverse ecosystem of platforms, including API Gateways like Mule and Mashery, messaging systems like Kafka, and other middleware systems. As a senior member of this team, you will lead the evolution of our internal platforms, driving the transition toward No-Ops and AIOps to ensure our infrastructure is as intelligent as it is scalable. Your Impact. You will take ownership of the full-stack lifecycle of our platform offerings. From designing intuitive UI/UX interfaces for platform consumers to architecting the backend services that power our initiatives, your work will directly impact client productivity and system reliability. You will lead technical direction, mentor junior engineers, and champion architectural standards that allow us to scale seamlessly. Platform Architecture: Design and maintain scalable PaaS solutions, including API Gateways (Mashery, Mule) and Kafka messaging clusters. Full Stack Development: Build and maintain platform portals and dashboards using UI/UX technologies (Angular, React, Figma) and robust backend services (Python, Go). Operational Excellence: Manage CI/CD pipelines using Jenkins, Argo CD, and Argo Workflows to ensure seamless delivery and deployment. AI/ML & AIOps: Drive the migration toward AIOps and No-Ops by integrating ML models to automate monitoring, incident response, and infrastructure optimization. System Design & Ownership: Lead complex system design sessions, ensuring high availability, security, and performance across all platform layers. Leadership & Mentorship: Act as a technical lead, conducting code reviews, establishing best practices, and mentoring junior engineers to foster a culture of technical excellence. Cross-Functional Collaboration: Serve as a liaison between infrastructure, SRE, and software engineering teams to translate business needs into robust technical solutions. On-Call Support: Provide proactive on-call support for platform services, ensuring high availability and rapid resolution of operational issues to maintain service level objectives. Minimum Qualifications. 5+ years of software engineering experience, with a proven track record in full-stack development and platform engineering, including 1+ years in machine learning-related roles. Expertise in building modern, user-centric interfaces using React or Angular, supported by Figma design workflows. Deep proficiency in Python and/or Go for backend service development. Experience managing and optimizing Postgres and MongoDB databases. Advanced skills in CI/CD automation with Jenkins, Argo CD, and Argo Workflows, with a good understanding of Kubernetes-based deployment solutions. Preferred Qualifications. Good experience with Kubernetes and good understanding of API Gateways (e.g., Mashery, Mule) and messaging platforms (Kafka). Experience with building AI products and workflows, including LLMs, LangChain, RAG systems, and agentic frameworks. Demonstrated experience in AI/ML for automating day-to-day operational workloads. Ability to architect distributed systems that are resilient, observable, and easy to maintain. Exceptional interpersonal skills with the ability to communicate technical concepts to both technical and non-technical stakeholders. Disclaimer. To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:. be in direct response to an application you have submitted through the company career site. begin with screening or an interview. originate from a Cisco email address, and. be conducted across email, phone, or WebEx. Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than Cisco Careers or Cisco Workday, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, drivers license, or passport. If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
About Helpshift Helpshift is a leading customer service platform powered by AI and automation, helping businesses deliver exceptional customer support experiences across digital channels. We are looking for passionate AI Engineers who are eager to build intelligent systems using the latest advancements in Generative AI, NLP, and Machine Learning. Role Overview As an Entry-Level AI Engineer, you will work with experienced engineers and data scientists to design, develop, and deploy AI-powered so.
Scope: As a Sr. Software Engineer, you serve as a specialist in the engineering team that supports the team with following responsibilities. Design, architect, implement and help operate the Machine Learning platform by Develop and gain insight in the application architecture. Distill an abstract architecture into concrete design and influence the implementation. Observing inefficiencies, both in cost and reliability, of existing processes Researching alternative solutions using custom or exist.
Develop backend applications using Python, create REST APIs, work with SQL databases, process data using Pandas and NumPy, and support cloud-based deployments.
Prepare curriculum, deliver lectures and lab sessions on core Computer Science subjects, mentor students, organize workshops, promote research activities, support placements and internships, and contribute to departmental growth and academic excellence.
Hiring for Returnship Only for Female Candidates. JD. Experience - 5-10years Level - TM/SDM Location - Pan India NP - Immediate GenAI or GenAI Architect Build GenAI applications using Python for tasks like chatbots, summarization and intelligent automation. Develop and fine tune LLMs and ML models for classification, prediction, and decision support. Design solutions using embeddings, vector search, and retrieval augmented generation (RAG). Deploy models using Azure Machine Learning and Azure O.
Role : Phoenix - Data Scientist Team : Data Science Type : Program for Women in Career break Location : Bengaluru Mode : Onsite Duration: 6 months About Phoenix Phoenix is Myntra's initiative designed to be a launchpad for women returning to their careers after a break. This six-month program provides a supportive environment that helps ensure a smooth transition back to work. With structured onboarding, customized learning and development opportunities, mentorship, hands-on projects, and best-.
Retail Business Services (RBS) supports Amazon's Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning .
Career Category Manufacturing Job Description ABOUT THE ROLE Role Description: The Associate Machine Learning Engineer position offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D) organization. You'll work on next-generation capabilities and services in Applied AI & Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to su.
NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and tha.
