Machine Learning Threat Intelligence Engineer

OpenKyber LLC
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 166K

Job location

Remote

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Bash
Cloud Computing
Cloud Database
Cloud Engineering
DevOps
Monitoring of Systems
Identity and Access Management
Python
Network Security
Linux System Administration
Machine Learning
Performance Tuning
Powershell
Role-Based Access Control
TensorFlow
Prometheus
Azure
Virtual Machines
Datadog
Scripting (Bash/Python/Go/Ruby)
Cloud Platform System
Cloud Monitoring
PyTorch
Snowflake
Spark
Cyber Threat Analysis
Cloudformation
AI Platforms
Kubernetes
Infrastructure Automation Frameworks
Deployment Automation
Bicep
Data Management
Machine Learning Operations
Cloudwatch
Terraform
Docker
Databricks

Job description

  • Work closely with data science, DevOps, and engineering teams to support AI/ML infrastructure, deployments, and cloud-based initiatives.

Day to Day Responsibilities

  • Design, deploy, and manage cloud infrastructure supporting AI/ML workloads on AWS and Azure
  • Manage compute resources including EC2, Azure Virtual Machines, GPU instances, and Kubernetes clusters
  • Provision and configure storage, networking, and security services for AI platforms
  • Deploy and maintain AI/ML services such as Amazon SageMaker and Azure Machine Learning
  • Support data scientists and ML engineers with optimized environments for model training and deployment
  • Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, and ARM/Bicep templates
  • Automate provisioning, scaling, and patching of cloud environments
  • Deploy and manage containerized applications using Docker, Kubernetes, EKS, and AKS
  • Monitor system performance using tools like CloudWatch, Azure Monitor, Datadog, and Prometheus
  • Optimize infrastructure for cost efficiency, performance, and GPU utilization
  • Implement security best practices including IAM/RBAC, encryption, and network security
  • Ensure compliance with organizational and regulatory standards
  • Integrate AI/ML infrastructure with CI/CD pipelines for automated deployments

Requirements

Do you have experience in Terraform?, * Experience as a Cloud Engineer / AI-ML Infrastructure Engineer

  • Strong hands-on experience with AWS and Microsoft Azure
  • Experience supporting AI/ML platforms and cloud-based data environments
  • Proficiency in Linux administration and scripting (Python, Bash, PowerShell)
  • Hands-on experience with Docker, Kubernetes, and container orchestration
  • Experience with Infrastructure as Code tools like Terraform or CloudFormation
  • Experience with monitoring and performance optimization tools

Preferred Skills & Qualifications

  • If possible someone who has worked on GPU-based infrastructure for AI workloads
  • Knowledge of MLOps practices and ML pipelines
  • Experience with data platforms such as Snowflake, Databricks, or Spark
  • Familiarity with AI frameworks like TensorFlow or PyTorch
  • Cloud certifications such as AWS Certified Solutions Architect or Azure AI Engineer

Benefits & conditions

Alaska Remote $75 - $80 an hour - Full-time, Pulled from the full job description

  • Referral program
  • Pet insurance
  • 401(k)
  • Health insurance
  • Vision insurance
  • Health savings account
  • Dental insurance, PAY RANGE AND BENEFITS: Pay Range*: $75-$80/hour *Pay range offered to a successful candidate will be based on several factors, including the candidate's education, work experience, work location, specific job duties, certifications, etc.

Benefits: OpenKyber offers benefits( based on eligibility) that include the following: Medical & pharmacy coverage, Dental/vision insurance, 401(k), Health saving account (HSA) and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term Disability, Accident & Critical illness coverage, Pre-paid legal & ID theft protection, Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP).

About the company

ABOUT OpenKyber: Founded in 1998 and headquartered in Atlanta, Georgia, OpenKyber employs approximately 50,000 professionals worldwide and reports an annual revenue approaching $3 Billion. Through our global delivery centers across North America, Asia, and Europe, we deliver strategic technology and business transformation solutions to our clients, enabling them to operate as leaders within their fields. Recent Recognitions: Named One of America's Best Employers for New Grads by Forbes (2024 Named One of the Best Companies to Work for by U.S. News & World Report (Private Companies List, 2024-2025) One of the Largest IT Staffing Firms in the US Ranked #3 by Staffing Industry Analysts (SIA, 2024) One of the Largest Staffing Firms in the US Ranked #13 by Staffing Industry Analysts (SIA, 2024; includes OpenKyber, Volt, & HireGenics) Named One of the Top Ten Private Companies in Atlanta by the Atlanta Business Chronicle (2023) One of the Largest Certified Minority Business Enterprises (MBEs) in the United States (NMSDC, 2024) AWS Advanced Tier Services Partner with 100+ certifications Website : https://www.innovasolutions.com

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