[xrecnet] MLOPS Architect (Machine Learning / AI Architect) at Remote

Kindly submit only Architect profiles here who can share i94 with ppno here.     MLOPS Architect (Machine Learning / AI Architect)  Mandatory Exp - AWS, Python, Airflow, Kedro, or Luigi  Remote possible .                 Skill (Primary)   Microsoft-Azure Analytics-Azure ML Submit along with Skill matrix on these skills  Job Title/Role MLOPS Architect (Machine Learning / AI Architect) Experience level required (Years) 10+ Mandatory required skills AWS, Python, Airflow, Kedro, or Luigi Preferred/Desired skills Hadoop, Spark, or similar frameworks. Experience with graph databases a plus Please share the Detailed Job Description 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. 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. 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. 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. 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. Performance Optimization: Optimize cloud resources for cost-effectiveness and performance. Consider factors like auto-scaling, load balancing, and efficient use of compute resources. 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. 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. Activities – 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. Job Description (Posting).

 

Regards

Pavan

VDart Inc

Ph: (470) 251-2584 Ext:1866

Email: Pavankumar.s@vdartinc.com

Website: https://vdart.com

 

 

 

Confidentiality Notice

 

The information contained in this message may be privileged and confidential and protected from disclosure. If the reader of this message is not the intended recipient, or an employee or agent responsible for delivering this message to the intended recipient, you are hereby notified that any dissemination, distribution or copying of this communication is strictly prohibited. If you have received this communication in error, please notify us immediately by replying to the message and deleting it from your computer.

 

 

--
You received this message because you are subscribed to the Google Groups "Xrecnet IT Recruiters Network - Corp to Corp IT Jobs & Hotlists" group.
To unsubscribe from this group and stop receiving emails from it, send an email to xrecnet+unsubscribe@googlegroups.com.
To view this discussion on the web visit https://groups.google.com/d/msgid/xrecnet/CAGf9M0_2FFsZcCcgtqs0Oi0J-4a89beVdSRFLDV5WcUEPAbnDA%40mail.gmail.com.