The role of an AI Deployment Architect at Centific involves designing and implementing highly secure AI solutions deployment at an enterprise scale. This includes developing architectures that align with business objectives, integrating AI technologies into existing systems, and ensuring high performance with quick turnaround for hundreds of concurrent users. The key responsibilities of this role include collaboration with stakeholders to understand requirements, staying updated with the latest AI trends for continuous innovation, leading AI projects deployment, and optimizing AI models for performance and scalability. To be successful in this role, candidates are required to have at least 8 years of experience in designing and deploying AI models in a highly secure environment supporting a large number of concurrent users. A strong graduate-level degree in Computer Science or other engineering discipline from a top-tier school is essential. Candidates should also possess expertise in AI architecture and pipeline planning, software engineering, DevOps principles, data science, advanced analytics, technical proficiency in programming languages such as Python, R, and Java, analytical thinking, project management skills, effective communication abilities, and adaptability to new challenges and technologies. Key skills required for this role include expertise in AI workflows and pipelines design, knowledge of software engineering principles and DevOps tools, proficiency in advanced analytics tools and machine learning frameworks, technical proficiency in programming languages, excellent problem-solving skills, proven experience in project management, strong communication abilities, and adaptability to fast-paced environments. Candidates should also be familiar with machine learning frameworks like TensorFlow, PyTorch, Keras, programming languages including Python, R, Java, C++, data management tools like SQL and NoSQL databases, cloud platforms such as AWS, Google Cloud, Azure, and development tools like Jupyter Notebooks, Git, Docker, and Kubernetes. In summary, the AI Deployment Architect role at Centific requires a combination of technical expertise, project management skills, effective communication abilities, and adaptability to drive the deployment of secure and scalable AI solutions in alignment with business objectives.,
As an AI Deployment Architect at Centific, you will play a crucial role in designing and implementing highly secure AI solutions deployment at an enterprise scale. Your responsibilities will include collaborating with stakeholders, staying updated with the latest AI trends, leading AI projects deployment, optimizing AI models for performance and scalability, and ensuring adherence to quality standards. Your key responsibilities will involve developing and implementing secure AI solutions deployment that align with business objectives, creating scalable architectures, integrating AI technologies into existing systems, and working closely with data scientists, engineers, and business leaders to translate requirements into AI solutions. You should possess 8+ years of experience in designing and deploying AI models at an enterprise scale in a highly secure environment. A strong background in Computer Science or other engineering disciplines from top-tier schools is required. Expertise in AI architecture and pipeline planning, software engineering, DevOps principles, data science, and advanced analytics tools is essential for this role. In addition, you should have technical proficiency in programming languages such as Python, R, and Java, along with analytical thinking skills to analyze large datasets and extract meaningful insights. Strong project management skills, excellent communication abilities to convey technical concepts to non-technical stakeholders, and adaptability to new challenges and technologies are also crucial for this position. Your expertise should encompass machine learning frameworks like TensorFlow, PyTorch, Keras, programming languages including Python, R, Java, C++, data management tools such as SQL and NoSQL databases, cloud platforms like AWS, Google Cloud, and Azure, and development tools like Jupyter Notebooks, Git, Docker, and Kubernetes. Join Centific and be part of the team that is transforming the world through safe and scalable AI, empowering businesses to unlock the full potential of their data.,
As an Immediate Joiner and Individual Contributor, you will play a crucial role in collaborating with development and operations teams to define the overall DevOps strategy and roadmaps that leverage Azure DevOps tools and practices. Your responsibilities will include designing and implementing CI/CD pipelines for various application types and technology stacks. You will be tasked with selecting, configuring, and integrating appropriate Azure DevOps tools and services, such as Azure Pipelines, Azure Repos, Azure Artifacts, and Azure Boards, to support the software development lifecycle. Additionally, you will implement infrastructure provisioning and deployment using IaC tools like Azure Resource Manager templates, Terraform, or ARM templates, and automate environment provisioning and scaling for applications on Azure. Your role will involve designing and implementing automated workflows, including build, test, deployment, and monitoring processes, using Azure DevOps pipelines and scripting languages. You will also be responsible for incorporating security best practices into CI/CD pipelines, ensuring compliance with industry standards and regulatory requirements, and configuring monitoring and logging solutions using Azure Monitor and other tools. Furthermore, you will define release strategies and deployment patterns for different environments using Azure DevOps, manage releases, and coordinate deployments across multiple environments. Continuous improvement will be a key focus, where you will identify opportunities for process enhancement, optimization, and automation within the DevOps lifecycle. In addition to your technical expertise, you will provide training and guidance to development and operations teams on Azure DevOps practices and tools, collaborating with cross-functional teams to drive DevOps adoption and alignment. Your role will also involve defining and enforcing governance policies, resource tagging, and cost management practices within Azure DevOps. To excel in this role, you should possess 8+ years of overall experience and a minimum of 5 years of experience as an Azure DevOps professional. A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field is required. Strong problem-solving, analytical, communication, and teamwork skills are essential, along with relevant certifications such as Microsoft Certified: Azure DevOps Engineer Expert. Additional qualifications that are considered advantageous include having certifications, experience working in Agile/SCRUM/SAFe methodologies, and experience in Retail/CPG and supply chain projects. Depending on the specific position, the work environment can be remote, office-based, or hybrid. Overall, this role offers an exciting opportunity for an experienced Azure DevOps professional to contribute to the success of the organization by driving continuous improvement, collaboration, and innovation in DevOps practices.,