4 Gitlab Pipeline Jobs

As a Data Scientist specializing in Generative AI & ML Engineering, your primary responsibility will be to research and develop AI algorithms and models. You will be tasked with analyzing data, constructing predictive models, and employing machine learning techniques to address intricate problems. Your proficiency should encompass a range of skills including proficiency in languages/frameworks such as Fast API and Azure UI Search API (React), as well as expertise in databases and ETL tools like Cosmos DB and Data Factory Data Bricks. In addition, you should have a strong command of Python and R, familiarity with Azure Cloud Basics and Gitlab Pipeline, and experience in deploying AI solutions end-to-end. In addition to your proficient skills, you are expected to possess expert-level knowledge in areas such as Azure Open AI, Open AI GPT Family of models, and Azure Storage Account. Your expertise should extend to machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, and a solid foundation in mathematics including linear algebra, calculus, probability, and statistics. Furthermore, your role will require proficiency in data analysis tools such as Pandas, NumPy, and SQL, as well as strong statistical and probabilistic modeling skills. Experience with data visualization tools like Matplotlib, Seaborn, and Tableau, along with knowledge of big data technologies like Spark and Hive, will be essential for success in this position. Overall, your experience in AI-driven analytics and decision-making systems, coupled with your ability to develop and deploy AI frameworks and models, will be critical in delivering effective solutions to complex challenges.,

Why this job matters Frontend Developer with expertise in Angular and AEM Development . The ideal candidate should have a strong background in front-end development using Angular and experience in building and managing web content using Adobe Experience Manager. He/She will be responsible for designing, developing, and maintaining dynamic web applications and content-rich websites that deliver exceptional user experiences. What youll be doing 1. Front-End Development (Angular): (Mandatory) Develop responsive and dynamic web applications using Angular (v18+). Implement reusable components, services, and modules. Optimize application performance and ensure cross-browser compatibility. Integrate RESTful APIs and third-party services. Collaborate with UI/UX designers to translate designs into functional interfaces. Implement lazy loading, code splitting, and optimize assets using CDNs. Ensure faster load times and smoother user interactions by minifying JavaScript and compressing images. React Exposure is Plus 2. AEM Development: (Good to Have) Develop and maintain AEM components, templates, and workflows. Customize and configure AEM DAM, Sites, and Assets. Integrate AEM with external systems and services. Manage content lifecycle and versioning within AEM. Ensure SEO best practices and accessibility compliance. 3. Collaboration & Agile Practices: (Mandatory) Work closely with product managers, designers, and backend developers. Participate in Agile ceremonies (daily stand-ups, sprint planning, retrospectives). Write unit and integration tests to ensure code quality. Conduct code reviews and mentor junior developers. 4. Testing & Deployment: (Mandatory) Develop and execute comprehensive unit, integration, and end-to-end tests,Implement CI/CD pipelines for automated application deployment, enabling artifact deployment into AEM instances. Manage and execute the production deployment process, including blue/green deployments, release notes, and rollback strategies. 5. CI/CD & DevOps: (Good to Have) Experience with CI/Ct/CD pipelines using Gitlab pipeline, Jenkins, or similar tools. Familiarity with Git and version control. Experience with production deployment strategies and best practices.

Role & responsibilities Proficient: Languages/Framework: Fast API, Azure UI Search API (React) tabases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks Proficiency in Python and R Cloud: Azure Cloud Basics (Azure DevOps) Gitlab: Gitlab Pipeline o Ansible and REX: Rex Deployment Data Science: Prompt Engineering + Modern Testing Data mining and cleaning ML (Supervised/unsupervised learning) NLP techniques, knowledge of Deep Learning techniques include RNN, transformers End-to-end AI solution delivery AI integration and deployment AI frameworks (PyTorch) MLOps frameworks Model deployment processes Data pipeline monitoring Expert: (in addition to proficient skills) Languages/Framework: Azure Open AI Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search Databases and ETL: Azure Storage Account Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) Proficiency in deep learning frameworks (TensorFlow, PyTorch) Strong mathematical foundation (linear algebra, calculus, probability, statistics) Research methodology and experimental design Proficiency in data analysis tools (Pandas, NumPy, SQL) Strong statistical and probabilistic modelling skills Data visualization skills (Matplotlib, Seaborn, Tableau) Knowledge of big data technologies (Spark, Hive) Experience with AI-driven analytics and decision-making systems Note: ***Notice Period should not be more than 10-15 days. ***

Auriga IT is looking for a Devops Engineer to join our team who is driven to make a difference. You will be responsible for handling the IT infrastructure as per the business needs of the code which can be deployed in a hybrid multi-tenant environment which needs continuous monitoring of the performance. Responsibilities Design-Implement a secure, scalable, cost-effective architecture on AWS/Azure/Google Cloud based on customer needs with best practices. CI/CD Pipeline through GitHub Actions, Bitbucket Pipeline, GitLab Pipeline, Jenkins or other available options. Configure centralized configuration management using tools like Ansible, Shell scripting and/or Python scripts. Implement automated backups. Manage and Configure Observability platform for Logging, Alerts/Alarms act on any outages/incidents. Ensure that the infrastructure is secured and all access mediums are secured as well. Manage permissions, backup and performance across different databases like MySQL, MSSQL, PostgreSQL, NoSQL Databases etc. Should be able to manage, optimize, and secure production servers ensuring high availability. Understand client requirements, propose solutions and ensure delivery. Coordinate with development teams to fix issues, and release new code. Innovate and actively look for improvements in overall infrastructure Qualifications Bachelor's Degree, with at least 2-5 years exp in Devops domain. Should have worked on various AWS services like ECS(Fargate/EC2), IAM and Identity Center , RDS, CloudFront, CloudFormation, CloudTrail, EKS etc. Excellent verbal and written communication skills. Comfortable with Python. Well-versed with shell scripting. Well-versed with Web-Servers (Nginx, Apache etc) , Databases. Good knowledge of at least one cloud provider(preferably AWS) and working experience. Good knowledge of networking, security aspects, and managed services provided by Cloud. Well-versed with Kubernetes Nice to have Prior experience in managing infrastructure for public facing web-applications in Air-Gapped Environment. Prior experience in handling client communications. Knowledge of programming languages and databases. Terraform experience is a plus