AI Machine Learning Engineer â Infrastructure Solutions
AI Machine Learning Engineer â Infrastructure Solutions
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Reports to: Sr. Vice President of AI Platform
Department: Product
FLSA Category: Exempt
Position Type: Full-Time Senior level
Travel Requirement: 0-10% Quarterly for meetings
Office Location: Remote US based
JOB SUMMARY
We are a next-generation AI-powered MarTech and AdTech startup focused on unlocking enterprise-grade marketing intelligence for small and medium-sized businesses (SMBs). Our platform is built on LLMs agentic AI frameworks and proprietary data-driven systems that scale performance personalization and automation across the marketing lifecycle.
We are seeking a highly skilled AI/ML Infrastructure Solutions Engineer to join our AI Platform this role you will be responsible for designing building and maintaining the infrastructure that powers our machine learning lifecycle from data pipeline and model training to platform deployment and monitoring. Youll work closely with data scientists ML engineers and DevOps to ensure scalable secure and efficient AI operations.
You will work closely with AI/ML engineers data scientists and product leadership to build high-performance pipelines streaming architectures and data reliability systems that enable intelligent agent interoperability at scale.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
- Design and implement end-to-end ML pipelines for training validation deployment and monitoring.
- Develop and manage infrastructure-as-code (IaC) for scalable ML environments (e.g. Terraform Kubernetes).
- Integrate CI/CD workflows for ML model versioning testing and deployment.
- Collaborate with data scientists to operationalize ML models in production.
- Implement observability tools for model performance drift detection and logging.
- Optimize computer resources across cloud and on-prem environments.
- Ensure compliance with AI governance security and data privacy standards.
KNOWLEDGE SKILLS ABILITIES AND QUALIFICATIONS
- 5 years of experience in MLOps DataOps DevOps or ML Engineering.
- Bachelors degree in Engineering Computer Science or equivalent. Masters degree preferred.
- Proficiency in Python Docker and Kubernetes.
- Experience with ML platforms (e.g. MLflow SageMaker Vertex AI Databricks).
- Familiarity with cloud infrastructure (AWS Azure or GCP).
- Strong understanding of CI/CD pipelines and model lifecycle management.
- Knowledge of monitoring tools (e.g. Prometheus Grafana Evidently AI).
- Experience with LLMOps or RAG-based architectures.
- Familiarity with distributed training and GPU orchestration.
- Exposure to generative AI workflows and prompt engineering.
- Contributions to open-source MLOps tools or frameworks.
Why Join Us
- Work on cutting-edge AI infrastructure powering real-world applications.
- Collaborate with a world-class team of AI researchers and engineers.
- Flexible work environment with opportunities for growth and innovation.
- Competitive compensation and benefits.
- Collaborate directly with C-level leadership to influence product direction and technical strategy.
- Be part of a mission-driven company transforming how AI powers marketing for SMBs.
- Work in a startup environment where innovation speed and experimentation are encouraged.
PHYSICAL REQUIREMENTS/WORKING CONDITIONS
Standing/Walking/Mobility: Must have mobility to attend meetings remotely and in person.
Climbing/Stooping/Kneeling: 0% - 10% of the time.
Lifting/Pulling/Pushing: 0% - 10% of the time.
Fingering/Grasping/Feeling: Must be able to write type and use a telephone system 100% of the time.
Sitting: Sitting for prolonged and extended periods of time.
This job description reflects managements assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Management may revise duties as necessary without updating this job description.
For more information about the company please visit our website: is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race color sex age national origin religion sexual orientation gender identity status as veteran disability or any other federal state or local protected class.
Clarvos complies with federal and state disability laws and makes reasonable accommodation for applicants and employees with disabilities.
If you require reasonable accommodation in completing the application interviewing completing any pre-employment testing or otherwise participating in the employee selection process please direct your inquiries to .
Required Experience:
Senior IC
Employment Type
Full-Time
