Zealogics Inc ยท 7 hours ago
GenAI Architect
Maximize your interview chances
ConsultingEnterprise Applications
Comp. & BenefitsH1B Sponsor Likely
Insider Connection @Zealogics Inc
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
Lead architecture and development of AI-driven solutions using tools such as Azure OpenAI, NVIDIA NGC, Google Vertex AI, and AWS Bedrock/SageMaker
Integrate and customize pre-trained models from OpenAI, Llama3, NVIDIA, and other platforms, optimizing for specific use cases (e.g., customer service, data analytics)
Implement and manage GenAI services, leveraging Task Weaver, Google Vertex AutoML, and local LLMs for tailored AI applications
Deploy and maintain MLOps workflows using tools like Kubeflow, MLFlow, and CI/CD practices for data lakes with LakeFS
Architect and maintain multi-cloud data pipelines and storage solutions with Kubernetes, K3s/K8s, and Docker
Design and develop custom embedded Linux solutions for devices such as Beaglebone, Raspberry Pi, and OrangePi using Yocto, Armbian, and BuildRoot
Integrate and deploy IoT edge solutions on microcontrollers like ESP32/ESP8266, RP2040, with a focus on advanced protocols and device management
Deploy, configure, and manage edge computing devices, including NVIDIA Jetson, ZimaBoard, and Raspberry Pi, leveraging AI capabilities for IoT applications
Architect scalable multi-cloud solutions on AWS, Azure, and Google Cloud for AI, data, and IoT workloads
Implement edge streaming, digital twin creation, and IoT device management using Azure IoT Hub, Google IoT Core, and AWS IoT Core
Enable cross-platform integration with observability tools, data analytics, and cloud database solutions (Cosmos DB, BigQuery, Snowflake)
Develop multi-cloud and on-premise automation solutions using tools like Terraform, Helm, and CDK/TypeScript for infrastructure-as-code
Optimize DevOps workflows and automate processes with CI/CD pipelines, monitoring solutions, and advanced configurations across cloud platforms
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
Lead architecture and development of AI-driven solutions using tools such as Azure OpenAI, NVIDIA NGC, Google Vertex AI, and AWS Bedrock/SageMaker
Integrate and customize pre-trained models from OpenAI, Llama3, NVIDIA, and other platforms, optimizing for specific use cases (e.g., customer service, data analytics)
Implement and manage GenAI services, leveraging Task Weaver, Google Vertex AutoML, and local LLMs for tailored AI applications
Deploy and maintain MLOps workflows using tools like Kubeflow, MLFlow, and CI/CD practices for data lakes with LakeFS
Architect and maintain multi-cloud data pipelines and storage solutions with Kubernetes, K3s/K8s, and Docker
Design and develop custom embedded Linux solutions for devices such as Beaglebone, Raspberry Pi, and OrangePi using Yocto, Armbian, and BuildRoot
Integrate and deploy IoT edge solutions on microcontrollers like ESP32/ESP8266, RP2040, with a focus on advanced protocols and device management
Deploy, configure, and manage edge computing devices, including NVIDIA Jetson, ZimaBoard, and Raspberry Pi, leveraging AI capabilities for IoT applications
Architect scalable multi-cloud solutions on AWS, Azure, and Google Cloud for AI, data, and IoT workloads
Implement edge streaming, digital twin creation, and IoT device management using Azure IoT Hub, Google IoT Core, and AWS IoT Core
Enable cross-platform integration with observability tools, data analytics, and cloud database solutions (Cosmos DB, BigQuery, Snowflake)
Develop multi-cloud and on-premise automation solutions using tools like Terraform, Helm, and CDK/TypeScript for infrastructure-as-code
Optimize DevOps workflows and automate processes with CI/CD pipelines, monitoring solutions, and advanced configurations across cloud platforms
Strong hands-on experience with AI/ML models and platforms (e.g., OpenAI)
Proven track record in MLOps, using tools like Kubeflow, MLFlow, and LakeFS
Extensive experience with embedded Linux, IoT device management, and edge computing
Proficiency in cloud platforms (AWS, Azure, GCP), IoT architecture, blockchain, and advanced DevOps
Advanced programming skills in Python, C++, Go, JavaScript, Bash, and PowerShell
Company
Zealogics Inc
Zealogics Inc provides a broad range of IT and Engineering Services, Systems Implementation and Application Outsourcing Services through an optimized global delivery model.
H1B Sponsorship
Zealogics Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (5)
2022 (15)
2021 (7)
2020 (10)
Funding
Current Stage
Late StageCompany data provided by crunchbase