AI/ML Cloud Engineering Consultant
AI/ML Cloud Engineering Consultant
Posted on :
10-07-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
10-07-2025
Job Description
Were hiring an AI/ML Cloud Engineering Consultant
Employment Type: Full Time/Direct Hire Only (No Agencies)
Location: Atlanta GA Metro Washington DC Metro Charlotte Metro NYC or Richmond VA
Location Type: Hybrid - Home Office/Local Ippon office (1-2 days per week onsite)
About Ippon:
The Ippon story started in 2002 in Paris France - cue in the accordion. Our founder and CEO Stphane Nomis used his unique experience as an international Judo champion to create a culture based on the sports values of ambition and excellence. Our USA Headquarters office is located in Richmond VA with additional offices in New York NY Washington DC and Atlanta GA. We are a technology consulting firm that specializes in helping accelerate our clients digital roadmap in the areas of Product Management Cloud Data and Software Engineering. Our culture and reputation is driven by our COACH values; our Ipponites are Collaborative Open-minded Adaptable Courageous and Hungry.
About the position:
We are seeking an AI/ML Cloud Engineering Consultant to design implement and optimize AI/ML solutions on AWS focusing on Kubernetes and MLFlow for production-grade MLOps environments. This role requires strong technical skills and consulting ability to work closely with client teams assess needs build scalable and secure AI/ML systems and deliver high-quality solutions. The AI/ML Cloud Engineer will collaborate across teams contribute to project delivery and share knowledge with colleagues requiring excellent communication skills and a passion for impactful client-focused work.
Roles & Responsibilities
- Assess existing infrastructure applications and data workflows including ML workloads to determine requirements for modernization and MLOps integration.
- Design and implement scalable secure AI/ML pipelines using MLFlow and related tools on AWS.
- Deploy configure and manage Kubernetes clusters (EKS or unmanaged) for production AI/ML workloads.
- Develop and maintain DevOps pipelines to automate ML model training deployment and monitoring.
- Troubleshoot LangChain and LangGraph scripts in Python debug pipelines from logs and templates
- Create migration or modernization plans outlining the approach timeline and dependencies.
- Evaluate applications and workloads for cloud and ML compatibility identifying needed modifications.
- Apply Infrastructure as Code (IaC) to provision and manage cloud resources reliably.
- Follow best practices in cloud security compliance networking and performance optimization.
- Communicate project progress and outcomes effectively with technical and non-technical stakeholders.
- Work directly with client technical stakeholders to gather requirements and provide updates.
- Contribute actively to agile ceremonies including stand-ups sprint planning and retrospectives.
- Share expertise with colleagues on AI/ML concepts Kubernetes DevOps and cloud best practices.
- Support pre-sales activities by helping estimate efforts and contributing technical insights when needed.
Project Delivery:
Collaboration & Knowledge Sharing:
Competencies we are looking for:
- 3 years of professional experience in cloud engineering AI/ML engineering or MLOps delivering solutions in AWS environments.
- 2 years experience deploying and managing Kubernetes clusters (EKS and/or unmanaged).
- 1 years experience in building and maintaining DevOps pipelines for ML workflows with MLFlow or similar ML lifecycle management tools including troubleshooting and debugging.
- Able to demonstrate solid knowledge of AI/ML engineering DevOps practices and modern cloud architecture in interviews.
- Able to demonstrate proficiency in container orchestration Kubernetes and cloud-native design principles with examples of past work and in interviews.
- Experience scripting (e.g. Python Bash) and automating tasks.
- Understanding of networking cloud security and scalability best practices.
- Experience working effectively in agile Scrum teams.
- Bachelors degree in Computer Science Information Technology Engineering or a related field.
- Prior consulting experience working with enterprise clients on AI/ML or cloud engineering projects.
- AWS Certifications (e.g. Solutions Architect Associate or Professional).
- Experience with Kubernetes ecosystem tools like Helm ArgoCD or Istio.
- Familiarity with MLOps tools like Kubeflow or SageMaker.
- Knowledge of security compliance standards and disaster recovery practices in cloud environments.
Minimum Requirements:
Preferred Requirements:
What we offer:
- Great salary and benefits - Health (HDHP & PPO Plans) dental and vision insurance HSA EAP as well as a 401k with company match
- Work/life balance - Ippon offers generous PTO parental leave medical leave and flexible schedules
- A fun creative and healthy work environment focused on teamwork knowledge-sharing and exceptional delivery
- Opportunities to expand your portfolio and work with different companies and industries
- Career growth up-skilling cross-training and leadership opportunities
$125000 - $145000 a year
We value the diversity and different perspectives each of our employees bring to Ippon Technologies.
Ippon Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race color religion sex sexual orientation gender identity age national origin veteran or disability status.
Visit us on LinkedIn or at to learn more.
So do YOU speak Ippon
Required Experience:
Contract
Employment Type
Full-Time
Key Skills
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