AI/ML Infrastructure Technical Lead (Hands-On), 100-125k

Location: Dublin, Ohio Job Type: Full-Time, perm Department: Infrastructure & AI Engineering Experience Level: Mid Level Candidate ONLY

We are seeking a hands-on Technical Lead to spearhead the infrastructure initiatives supporting our AI and machine learning workloads. In this role, you ll blend technical project management with deep cloud infrastructure expertise , building secure, scalable, and efficient environments for deploying data and AI-driven applications.

You ll work across cross-functional teams ranging from engineering and data science to compliance and IT operations to ensure infrastructure aligns with both technical goals and security standards.

• Lead technical planning and execution of AI/ML and data infrastructure projects in AWS.

• Design and implement scalable, secure, and compliant cloud infrastructure , with a focus on automation and reliability.

• Collaborate with data scientists, engineers, and stakeholders to deploy and manage AI/ML workloads.

• Manage and optimize AWS environments , with a strong understanding of cost management and performance tuning.

• Ensure infrastructure and deployment pipelines align with SOC 2 compliance and other security best practices.

• Guide junior engineers and IT staff in infrastructure practices and DevOps workflows.

• Maintain detailed documentation and ensure clear communication across technical and non-technical stakeholders.

• Bachelor's degree in a relevant technical field (e.g., Computer Science, Information Systems, Engineering).

• 4+ years of technical project management experience in IT or cloud infrastructure environments.

• At least 1 year of hands-on experience with AI/ML or data projects .

• Background in MSP (Managed Services Provider) or IT infrastructure environments .

• Strong experience deploying and managing systems on AWS .

• AWS Certification (e.g., Solutions Architect, DevOps Engineer) strongly preferred.

• Familiarity with AI/ML frameworks , data platforms , and modern cloud-native architectures .

• Solid understanding of SOC 2 compliance , access control , and infrastructure security best practices.

• Excellent problem-solving and leadership skills .

• Strong written and verbal communication skills; ability to explain technical concepts clearly to various audiences.

• AWS Services (EC2, S3, Lambda, EKS, IAM, CloudWatch, etc.)

• Infrastructure-as-Code (e.g., Terraform, CloudFormation )

• CI/CD tools (e.g., GitHub Actions, Jenkins, CodePipeline )

• Container orchestration ( Docker, Kubernetes )

• Familiarity with ML platforms such as SageMaker, MLflow, or Vertex AI

• Opportunity to lead critical infrastructure initiatives in the fast-growing AI space.

• Work with a collaborative, forward-thinking team at the intersection of cloud, security, and machine learning.

• Competitive salary, comprehensive benefits , and career growth support .

• Flexible work arrangements and a culture that values initiative and ownership .