| MLOPS Architect (Machine Learning / AI Architect)//Remote at Remote, Remote, USA |
| Email: [email protected] |
| Hi Partners, Hope you are doing great !! My name is B. Pramidha and I represent Virtual Networx Inc., a staff augmentation firm providing a wide-range of talent on-demand and Contingent workforce solutions. We have excellent domain expertise in all verticals. Repositioning professionals is what we do, and we do it very well. Please find the below job description and let me know if you have any suitable profiles along with their visa and photo IDs. Feel free to call me or email me if you have any questions. Role: MLOPS Architect (Machine Learning / AI Architect) Location: Remote AWS, Python, Airflow, Kedro, or Luigi Hadoop, Spark, or similar frameworks. Experience with graph databases a plus. 1. Designing Cloud Architecture: As an AWS Cloud Architect, you ll be responsible for designing cloud architectures, preferably on AWS, Azure, or multi-cloud environments. Your architecture design should enable seamless scalability, flexibility, and efficient resource utilization for MLOps implementations. 2. Data Pipeline Design: Develop data taxonomy and data pipeline designs to ensure efficient data management, processing, and utilization across the AI/ML platform. These pipelines are critical for ingesting, transforming, and serving data to machine learning models. 3. MLOps Implementation: Collaborate with data scientists, engineers, and DevOps teams to implement MLOps best practices. This involves setting up continuous integration and continuous deployment (CI/CD) pipelines for model training, deployment, and monitoring. 4. Infrastructure as Code (IaC): Use tools like AWS CloudFormation or Terraform to define and provision infrastructure resources. Infrastructure as Code allows you to manage your cloud resources programmatically, ensuring consistency and reproducibility. 5. Security and Compliance: Ensure that the MLOps architecture adheres to security best practices and compliance requirements. Implement access controls, encryption, and monitoring to protect sensitive data and models. 6. Performance Optimization: Optimize cloud resources for cost-effectiveness and performance. Consider factors like auto-scaling, load balancing, and efficient use of compute resources. 7. Monitoring and Troubleshooting: Set up monitoring and alerting for the MLOps infrastructure. Be prepared to troubleshoot issues related to infrastructure, data pipelines, and model deployments. 8. Collaboration and Communication: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders. Effective communication is essential to align technical decisions with business goals. Responsibilities: Strong experience in Python Experience in data product development, analytical models, and model governance Experience with AI workflow management tools such as Airflow, Kedro, or Luigi Exposure statistical modeling, machine learning algorithms, and predictive analytics. Highly structured and organized work planning skills Strong understanding of the AI development lifecycle and Agile practices Proficiency in big data technologies like Hadoop, Spark, or similar frameworks. Experience with graph databases a plus. Extensive Experience in working with cloud computing platforms - AWS Proven track record of delivering data products in environments with strict adherence to security and model governance standards. Please forward your resume to [email protected] or call me on P: +1 4692024944 if you need any further details. If for any reason this does not interest you or you know someone who would fit this requirement better, please consider this email as a request for referrals and feel free to forward it to the right contender. Thank you looking forward to work with you. Have a great week ahead Thanks & regards, B.Pramidha || Technical Recruiter VIRTUAL NETWORX INC P: +1 4692024944 E: pramidha.b @virtualnetworx.com W: www.virtualnetworx.com LinkedIn: B Pramidha | LinkedIn 2010 Valley View Lane, Suite 310, Farmers Branch, TX 75234 -- Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology Texas MLOPS Architect (Machine Learning / AI Architect)//Remote [email protected] |
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| Tue May 07 19:56:00 UTC 2024 |