AI/ML Cloud Engineer

About the Role

AI/ML Cloud Engineer, you will 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

The Ideal Candidate Will Have

• 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

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: Innova Solutions offers benefits (based on eligibility) that include the following:

• Medical & pharmacy coverage
• Dental/vision insurance
• 401(k)
• Health saving account (HSA)
• 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
• Other types of paid leaves (as required by law)
• Employee Assistance Program (EAP)

ABOUT INNOVA SOLUTIONS

Founded in 1998 and headquartered in Atlanta, Georgia, Innova Solutions 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)
• One of the Largest IT Staffing Firms in the US - Ranked by Staffing Industry Analysts (SIA, 2024)
• One of the Largest Staffing Firms in the US - Ranked by Staffing Industry Analysts (SIA, 2024; includes Innova Solutions, 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