AI Machine Learning Engineer – Infrastructure Solutions

AI Machine Learning Engineer – Infrastructure Solutions *, VA Category: Product Type: Full-time Min. Experience: Senior Level 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 team. In 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. You’ll 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. Bachelor’s degree in Engineering, Computer Science, or equivalent. Master’s 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 management’s 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: https://clarvos.com/ Clarvos 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 hrsupport@Clarvos.com.