Responsibilities:. Develop scalable APIs with Django & FastAPI. Implement NLP models on AWS using ML algorithms. Collaborate on backend development projects. Integrate REST APIs with AI platforms. Lead small Development Teas. Perks and benefits. Performance bonus

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.

We are looking for Professors, Associate Professors and Assistant Professors in the field of Technology to join our growing academic community. Specializations: - Computer Science Engineering - Artificial Intelligence & Machine Learning - Data Science - Full Stack Development - Cyber Security and related domains What you'll do: Deliver engaging, outcome-driven teaching with timely completion of the curriculum. Prepare and continuously update high-quality academic content, including lesson plan..

Hiring Alert | Master Trainer -AI,ML Locations: Bangalore Organisation: Edunet Foundation Full-time Edunet Foundation is hiring Master Trainers with strong expertise in Python, AI/ML, Generative AI, Data Structures, Deep Learning, OpenCV, and Data Analytics . Key Skills: - Python, NumPy, Pandas, Scikit-Learn - Machine Learning & Deep Learning - Generative AI & OpenCV - Data Structures & Algorithms - TensorFlow, Keras & Database Management Preferred: - Experience in technical training/men...

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.

Build next-generation recommendation systems, run A/B experiments, apply deep learning and transformer models, collaborate with engineering teams, and optimize ML platforms at scale.

Build AI and ML solutions for retail and supply chain domains, develop recommendation engines, forecasting models, AI agents, LLM applications, and scalable data processing pipelines.

Develop backend applications using Python, create REST APIs, work with SQL databases, process data using Pandas and NumPy, and support cloud-based deployments.

Train, evaluate and deploy machine learning models including LLMs and SLMs. Build OCR-based intelligent document processing systems and optimize AI-driven automation workflows.