Design, implement, and manage CI/CD pipelines. Automate deployment, monitoring, and scaling of applications. Manage cloud infrastructure (AWS/Azure/GCP). Implement containerization using Docker orchestration with Kubernetes. Ensure system reliability, availability, and performance monitoring. Maintain Infrastructure as Code (Terraform / Ansible / CloudFormation). Requirements: Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Strong knowledge of Docker, Kubernetes, Helm. Experience with cloud platforms (AWS/Azure/GCP). Proficiency in scripting (Bash, Python, Shell). Knowledge of monitoring tools (Prometheus, Grafana, ELK).
Design, develop, and maintain Java-based applications. Develop REST APIs and integrate with third-party services. Ensure application security, scalability, and performance. Write clean, efficient, and maintainable code. Requirements: Strong proficiency in Core Java, J2EE, and OOP concepts. Experience with Spring Boot, Spring MVC, Hibernate. Hands-on experience with RESTful APIs, Microservices. Knowledge of databases (MySQL, PostgreSQL, Oracle, MongoDB). Familiarity with build tools (Maven/Gradle) and Git.
Develop, test, and maintain scalable backend services and APIs using Python. Optimize application performance, scalability, and security. Debug and resolve software defects, ensuring high availability. Work with databases (SQL/NoSQL) and cloud environments. Requirements: Strong hands-on experience with Python (Django/Flask/FastAPI). Understanding of RESTful APIs and microservices. Experience with PostgreSQL/MySQL and MongoDB/Redis. Familiarity with Git, Docker, and CI/CD pipelines. Knowledge of AWS/Azure/GCP is a plus.
Develop and maintain user-facing web applications using React.js. Translate UI/UX wireframes @into high-quality, responsive code. Integrate APIs and work closely with backend developers. Optimize components for performance across devices and browsers. Requirements: Proficiency in JavaScript (ES6+), HTML5, CSS3. Strong hands-on experience in React.js, Redux/Context API. Familiarity with RESTful APIs & JSON. Knowledge of modern frontend build tools (Webpack, Babel, Vite). Experience with testing frameworks (Jest, Enzyme, React Testing Library).
Key Responsibilities: Define and own the architecture strategy for Generative AI and LLM-based solutions across multiple business domains. Evaluate, select, and integrate AI frameworks, models, and platforms (e.g., OpenAI, Azure OpenAI, Vertex AI, Claude, Llama, etc.). Architect and deploy end-to-end AI pipelines , including data ingestion, model training, fine-tuning, and inference. Lead RAG (Retrieval-Augmented Generation) , prompt engineering , and context management design for enterprise-grade solutions. Collaborate with data engineering teams to design scalable data architectures that support AI workloads. Drive POCs and pilot projects to assess model performance, latency, and cost efficiency. Ensure compliance with AI governance, ethics, and data privacy standards. Mentor and guide engineering teams in best practices for AI system design, MLOps, and deployment. Stay abreast of emerging trends in Generative AI, deep learning, and NLP to continuously enhance solution design. Required Skills & Qualifications: Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. 12–15 years of total experience in software development, architecture, or AI engineering — with at least 3–5 years in AI/ML solution design. Proven expertise in Generative AI, NLP, and LLM-based architectures. Hands-on experience with transformer models (e.g., GPT, Llama, Claude, Mistral, etc.) and frameworks such as LangChain, LlamaIndex, Hugging Face Transformers. Strong proficiency in Python , with exposure to PyTorch, TensorFlow , or JAX. Experience integrating AI systems with cloud platforms — AWS Sagemaker , Azure AI , or Google Vertex AI. Familiarity with vector databases (Pinecone, FAISS, Chroma, Milvus) and embedding models. Understanding of microservices architecture , APIs , and containerization (Docker/Kubernetes). Excellent understanding of data engineering, model lifecycle management, and MLOps practices. Strong leadership, communication, and stakeholder management skills
About the Role: We are seeking an accomplished Generative AI Architect to lead the design and implementation of cutting-edge AI-driven solutions. The ideal candidate will possess a strong background in Artificial Intelligence, Machine Learning, and Large Language Models (LLMs), with a proven ability to architect, prototype, and scale AI systems across enterprise environments.As a key technical leader, you will collaborate with product, data, and engineering teams to translate complex business challenges into innovative AI architectures using generative technologies such as OpenAI, Anthropic, Hugging Face, LangChain, and Vector Databases . Key Responsibilities: Define and own the architecture strategy for Generative AI and LLM-based solutions across multiple business domains. Evaluate, select, and integrate AI frameworks, models, and platforms (e.g., OpenAI, Azure OpenAI, Vertex AI, Claude, Llama, etc.). Architect and deploy end-to-end AI pipelines , including data ingestion, model training, fine-tuning, and inference. Lead RAG (Retrieval-Augmented Generation) , prompt engineering , and context management design for enterprise-grade solutions. Collaborate with data engineering teams to design scalable data architectures that support AI workloads. Drive POCs and pilot projects to assess model performance, latency, and cost efficiency. Ensure compliance with AI governance, ethics, and data privacy standards. Mentor and guide engineering teams in best practices for AI system design, MLOps, and deployment. Stay abreast of emerging trends in Generative AI, deep learning, and NLP to continuously enhance solution design. Required Skills & Qualifications: Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. 12–15 years of total experience in software development, architecture, or AI engineering — with at least 3–5 years in AI/ML solution design. Proven expertise in Generative AI, NLP, and LLM-based architectures. Hands-on experience with transformer models (e.g., GPT, Llama, Claude, Mistral, etc.) and frameworks such as LangChain, LlamaIndex, Hugging Face Transformers. Strong proficiency in Python , with exposure to PyTorch, TensorFlow , or JAX. Experience integrating AI systems with cloud platforms — AWS Sagemaker , Azure AI , or Google Vertex AI. Familiarity with vector databases (Pinecone, FAISS, Chroma, Milvus) and embedding models. Understanding of microservices architecture , APIs , and containerization (Docker/Kubernetes). Excellent understanding of data engineering, model lifecycle management, and MLOps practices. Strong leadership, communication, and stakeholder management skills.
Were Hiring SEO Interns! Location: Noida Sector 63 9Yards Technology is looking for enthusiastic SEO Interns eager to build their career in digital marketing. You’ll work closely with our SEO team on keyword research, on-page & off-page optimization, link building, and performance tracking using tools like SEMrush, Ahrefs, Moz, and Google Search Console. Walk-in Interview Details: 24th November 2025 3rd Floor, G-172, Sector 63, Noida 12:00 PM & 3:00 PM If you're proactive, detail-oriented, and ready to learn , join us for the walk in interview.
About the Role We are looking for a motivated and detail-oriented Talent Acquisition Intern to join our HR team. This role is ideal for someone who wants to learn the end-to-end recruitment process and start building their career in Human Resources. Key Responsibilities Assist in sourcing candidates through platforms such as LinkedIn, Naukri, Indeed, and internal databases. Screen resumes and shortlist potential candidates based on job requirements. Coordinate interview schedules between candidates and hiring managers. Participate in initial telephonic screening and evaluation of candidates. Maintain and update candidate records in the ATS (Applicant Tracking System). Support employer branding and campus hiring initiatives. Assist in onboarding new hires (document collection, orientation coordination, etc.). Provide general administrative support to the HR and Talent Acquisition teams. Required Skills & Qualifications Bachelors degree (completed or pursuing) in HR, Business Administration, or a related field. Strong communication and interpersonal skills. Basic understanding of recruitment and HR functions (preferred but not mandatory). Proficiency in MS Office (Excel, Word, PowerPoint). Ability to multitask and work in a fast-paced environment. Positive attitude, willingness to learn, and attention to detail. What Youll Gain Hands-on experience in the full recruitment lifecycle. Exposure to HR technology tools and professional hiring processes. Opportunity to work closely with HR leaders and hiring managers. Experience that supports a future career in HR or Talent Acquisition.