8.0 - 15.0 years

0 Lacs

pune, maharashtra

On-site

You should have 8 to 15 years of experience and be ready to join immediately. Your responsibilities will include designing and implementing infrastructure for current needs, ensuring network and data security, identifying opportunities for software and system improvements, developing IT policies and best practices, suggesting and implementing suitable ITS solutions, designing training programs for staff, conducting system audits, sharing operation system reports with senior staff, overseeing IT projects, managing IT budget, identifying team training opportunities, and building relationships with external clients. The required skills for this role include networking, Windows and Linux server administration, cloud-based architecture, Azure administration, domain administration, SVN and Git-Hub, O365 and Zoho knowledge, firewall management, and computing asset management. As a candidate, you should be a problem solver, critical thinker, have an analytical and innovative mindset, possess excellent verbal and writing skills, demonstrate project and time management skills, and have outstanding communication, interpersonal, and leadership skills.,

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Analytics and Modeling Analyst Accenture

2.0 - 6.0 years

0 Lacs

haryana

On-site

As an Analytics and Modeling Analyst at Accenture, you will be part of our growing Insights and Analytics team. You will be responsible for developing and implementing machine learning models using supervised and unsupervised techniques. Your role will involve applying appropriate machine learning algorithms for prediction tasks and data segmentation based on project requirements. Additionally, you will perform data preprocessing, feature engineering, and model evaluation to ensure the accuracy and efficiency of the models. The ideal candidate for this position should have a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field, along with 2 to 3 years of experience in applied machine learning and data science projects. You should have a solid understanding of model training, validation, and deployment workflows, as well as experience working with version control and collaborative development environments. Familiarity with tools that automate and manage the process of building, testing, and deploying machine learning models, as well as a basic understanding of cloud-based architecture and APIs, would be beneficial. In this role, you will collaborate with data engineers, analysts, and product teams to translate business problems into machine learning solutions. You will use Python libraries such as scikit-learn, TensorFlow, and others to build and test models, and analyze and manipulate structured datasets using notebooks like Jupyter. Your responsibilities will also include documenting model performance, data flows, and process pipelines to ensure transparency and reproducibility of the work. If you are a Machine Learning Data Scientist with a passion for building ML models using cutting-edge techniques and technologies, we invite you to join our team at Accenture and contribute to creating value and shared success for our clients, people, and communities.,

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DevOps Consultant HERE Technologies

5.0 - 9.0 years

0 Lacs

maharashtra

On-site

As a liaison between Development teams and Platform (PAAS) teams, you will be responsible for translating requirements into technical tasks or support requests. You will use coding languages or scripting methodologies to solve problems with custom workflows. Your role involves documenting problems, articulating solutions or workarounds, and being a key contributor on projects to brainstorm the best way to tackle complex technological infrastructure, security, or development problems. You will be expected to learn methodologies for performing incremental testing actions on code using a test-driven approach where possible (TDD). Strong oral and written communication skills with a keen sense of customer service, problem-solving, and troubleshooting skills are essential. Being process-oriented with excellent documentation skills is crucial. Knowledge of best practices in a micro-service architecture in an always-up, always-available service is required. Experience with or knowledge of Agile Software Development methodologies and security best practices in a containerized or cloud-based architecture is preferred. Familiarity with event-driven architecture and related concepts is a plus. In terms of experience, familiarity with container orchestration services, preferably Kubernetes, is necessary. Competency with container runtimes like docker, cri-o, mesos, rkt (Core OS), and working knowledge of Kubernetes templating tools such as Helm or Kustomize is expected. Proficiency in infrastructure scripting/templating solutions such as BASH, GO, Python is required. Demonstrated experience with infrastructure code tools such as Terraform, CloudFormation, Chef, Puppet, SaltStack, Ansible, or equivalent is a must. Competency in administering and deploying development lifecycle tooling such as Git, Jira, GitLab, CircleCI, or Jenkins is essential. Knowledge of logging and monitoring tools such as Splunk, Logz.io, Prometheus, Grafana, or full suites of tools like Datadog or New Relic is advantageous. Significant experience with multiple Linux operating systems in both a virtual or containerized platform is expected. Experience with Infrastructure as Code principles utilizing GitOps and secrets management tools such as Vault, AWS Secrets Manager, Azure Key Vault, or equivalent would be beneficial.,

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