| Requirement for :: Azure DevOps Engineer with Machine Learning or AI :: 12+ Exp. Required at Remote, Remote, USA |
| Email: [email protected] |
| From: Nirbhay singh, Appian infotech Inc [email protected] Reply to: [email protected] Role: Azure AI DevOps Engineer/ ML Ops Location: NYC, NY (Onsite) Job Type: Long Term Project JOB Description: This resource will be part of our growing Infrastructure Automation Team within Public Cloud. This role will be key in working with various infrastructure teams (Security, Networking, Database, Unix) to develop, deploy and support cloud and hybrid applications. Due to the collaborative nature of the role, it will be important that this resource be senior in both AI/ML / AWS / technical skills and interpersonal skills. Candidates should have strong communication, teamwork, customer service and leadership skills to partner with broader global technology engineering, information security and line of business teams. Translate the vision of business leaders into realistic technical implementations. Select appropriate AWS and/or Azure technologies, considering deployment models and integration with existing tools. Collaborate with Enterprise Architecture, Application Development, and Business teams to engineer pilot use cases and develop production solutions. Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements. Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance. Address potential issues such as training data poisoning, AI model theft, and adversarial samples. Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization. Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure. Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models. Preferred Qualifications: Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect 5 + years of experience in Data Science, Machine Learning, or AI environment experience in implementing cloud-based AI/ML workloads on AWS and/or Azure. experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments. experience in Generative AI/LLMs, preferably experienced in delivering and productionizing. experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment -- Regards Nirbhay Singh Appian Infotech Inc Contact No- 276 910 0146 Ext. 128 Email- nirbhay.s @appianinfotech.com LinkedIn:- https://www.linkedin.com/in/n-k-singh-430076245/ Keywords: artificial intelligence machine learning information technology New York Requirement for :: Azure DevOps Engineer with Machine Learning or AI :: 12+ Exp. Required [email protected] |
| [email protected] View all |
| Tue Apr 30 01:25:00 UTC 2024 |