Coderio designs and delivers scalable digital solutions for global companies.
We combine strong technical expertise with a product mindset to lead complex software initiatives end-to‐end.
We work with international clients, value autonomy and clear communication, and build long‐term partnerships through technical excellence.
More information:
This is a high-impact technical role.
We are looking for a Senior Machine Learning Ops Engineer to join our team.
You will own the architecture, development, and automation of end-to‐end machine learning solutions.
Operating within an established engineering team, you will be a key player in bridging the gap between data science and software engineering, evaluating cloud solutions, and deploying scalable machine learning models into production.
This is a hands‐on execution role.
You are responsible for the technical health of the ML lifecycle, the performance and cost‐efficiency of the cloud architecture, and delivering high‐quality, scalable solutions that drive business value.
What To Expect In This Role (Responsibilities)
ML Architecture & Development: Architect and develop robust, end-to‐end machine learning solutions.
MLOps & Automation: Manage and automate the complete machine learning lifecycle, ensuring seamless transitions from development to production.
Cross‐Functional Collaboration: Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them with other technical areas across the software development life cycle.
Cloud & Architecture Strategy: Work on cloud solutions, actively evaluating the performance and cost‐efficiency of potential architectures.
Business Alignment: Interact with other teams and stakeholders to deeply understand business challenges and propose effective technical solutions.
Mentorship & Advocacy: Communicate technical concepts clearly and teach teams how to properly use and adopt the new developments.
Requirements
Educational Foundation: Bachelor's degree in software engineering/computer science, or proven equivalent experience in data engineering or machine learning roles.
ML Deployment Mastery: Proven hands‐on experience implementing and deploying machine learning solutions in production environments.
Core Stack Expertise: Advanced knowledge of Python, SQL, and Spark.
Tooling & Infrastructure: Strong knowledge in (or similar to) Docker, Git, Bash Scripting, FastAPI, Sagemaker Studio, Airflow, and CloudFormation.
Architecture & Integration: Solid understanding of data architeeview, decide, and send.
The practice owner never touches the technology.
You'll get structured Claude training from your first week, weekly coaching with Rockstar's role lead, and a community of other EAs doing the same work.
KEY RESPONSIBILITIES
Calendar & Scheduling
Manage the owner's calendar with consistent color coding, time blocking, and protected focus time
Confirm every meeting's time,



attendees, link, and purpose at least 24 hours in advance
Use Claude's calendar connector to prepare daily and weekly calendar summaries, then check them against the real calendar before they go out
Coordinate personal appointments and travel where the placement includes it
Inbox & Communication
Triage the inbox daily: handle routine items, draft what needs the owner's voice, and elevate what needs their decision
Draft outbound email through Claude in the practice's brand voice and review every draft before sending
Follow a defined escalation matrix with set response windows for urgent, same-day, and routine items
Acknowledge email within 4 business hours and flag anything urgent to the owner within 30 minutes
Tasks, Projects, Meetings & Reporting
Keep one task tracker current every day, covering every commitment, owner, and deadline
Coordinate projects across the owner, staff, and vendors, breaking them into clear steps and tracking milestones through to completion
Build meeting agendas in Claude from what's open on the tracker
Create presentations and slide decks for the owner's meetings, trainings, and partner conversations
Turn meeting notetaker transcripts into same-day recaps with action items assigned to the right people
Deliver a Daily Summary and Weekly Summary so the owner never has to ask what happened
Pull reports from the practice's CRM, EMR, or spreadsheets and spot-check the numbers before they go anywhere
Practice Coordination & Administrative Support
Follow up with patients and clients after interactions and close the loop
Support referrals, waitlists, and scheduling-related workflows
Handle invoices, PTO tracking, vendor coordination, and compliance reminders
Write and maintain SOPs for recurring work
For practices that include it, monitor social platforms and Google and Yelp reviews, and draft responses for the owner's approval
Claude Environment
Keep the practice's brand voice file current as the practice changes
Bring real drafts to weekly coaching calls and refine the environment based on what's working
Maintain strict HIPAA compliance and patient confidentiality at all times.
Claude never contacts a patient or staff member without your review
This is a remote position.
Requirements
Proven experience as an Executive Assistant, Administrative Assistant, or similar role supporting a business owner or leader
Hands-on experience using AI tools for real work
Strong project coordination and task management skills, with a track record of moving work from assigned to done




Excellent time management and the ability to prioritize competing deadlines without dropping anything
Strong presentation skills, including building clear, polished slide decks
Excellent written English.
You'll review and send communication in a business owner's voice every day
Strong judgment about what to handle on your own and what to elevate
Comfort working in Google Workspace or Microsoft 365
Ability to work independently and keep steady communication with the practice owner
Willingness to complete Rockstar's confidentiality and compliance training before your start date
Reliable home office setup with a stable internet connection suitable for HIPAA-compliant remote work
Preferred
Experience with ChatGPT and Claude
Experience in the healthcare industry, especially outpatient practices such as physical therapy, occupational therapy, or speech therapy
Experience with Canva
Familiarity with HIPAA and handling patient information
Familiarity with EMR platforms such as Prompt, WebPT, or Raintree, or CRMs such as HubSpot or Zoho
Experience with project management tools such as Asana or Monday
WHAT WE LOOK FOR
Judgment: you know what toon monitoreo de modelos y datos en entornos productivos.
Conocimiento y experiencia trabajando con data drift y model monitoring .
Experiencia con Amazon SageMaker Clarify .
Conocimiento o experiencia con Amazon Neptune .
Sólidos conocimientos de prácticas de MLOps , incluyendo versionado, experimentación y despliegue de modelos.
Capacidad para establecer buenas prácticas y acompañar técnicamente a perfiles junior.
Será un plus
Experiencia con Graph Machine Learning .
Experiencia desarrollando o trabajando con Graph Neural Networks (GNN) .
Experiencia avanzada con Amazon Neptune .
Experiencia diseñando estrategias completas de model monitoring .
Experiencia trabajando con soluciones de Machine Learning en ambientes productivos de alta escala.
Beneficios
100% remoto
Compromiso a largo plazo, con autonomía e impacto
Rol estratégico y de alta visibilidad en una cultura de ingeniería moderna
Equipo internacional cooperativo y liderazgo técnico sólido
Plan de carrera y crecimiento dentro de Coderio
¿Por qué unirte a Coderio?
En Coderio valoramos el talento sin importar la ubicación.
Somos una empresa remote‐first , apasionada por la tecnología, el trabajo colaborativo y la compensación justa.
Ofrecemos un entorno inclusivo, desafiante y con oportunidades reales de crecimiento.
En este rol vas a tener la posibilidad de trabajar con tecnologías modernas de Machine Learning y AWS , aportar tu experiencia técnica y ayudar a impulsar las mejores prácticas dentro de un equipo en crecimiento.
Si te motiva construir soluciones con impacto, compartir conocimiento y acompañar a otros profesionales en su desarrollo ,
$1 - $1 a month
Compensation details: 1-1
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