Machine Learning Ops Engineer

Bizmoni Corp.; Teletrabalho; BRL 160.000 - 267.000; Tempo parcial

Resumo da oferta

A leading FinTech startup is seeking a skilled Machine Learning Ops Engineer for a remote, part-time position. You will design, automate, and optimize ML infrastructure, collaborating with teams to streamline workflows and ensure secure, scalable models. Ideal candidates have experience in MLOps and knowledge of Python, cloud services, and container orchestration. Join us for an opportunity to impact thousands of users worldwide.

Serviços

Equity-based compensation

Global remote team

Culture of innovation

Qualificações

• Proven experience in MLOps or similar role.
• Strong programming skills in Python; Java or Scala is a plus.
• Experience with ML frameworks and pipeline orchestration.
• Hands-on experience with cloud services.
• Solid knowledge of containerization and orchestration.
• Familiarity with Git and CI/CD tools.
• Strong understanding of ML algorithms.
• Excellent communication skills in a remote team environment.

Responsabilidades

• Design, build, and maintain end-to-end machine learning infrastructure.
• Automate ML pipelines with Docker, Kubernetes, and CI/CD frameworks.
• Collaborate with data scientists and engineers to streamline model deployment.
• Monitor and optimize models in production.
• Manage and optimize cloud infrastructure for efficiency.
• Ensure compliance and security protocols.
• Provide support and maintenance for ML applications.

Conhecimentos

MLOps experience

Python programming

ML frameworks

Cloud services

Containerization

Git and CI/CD tools

ML algorithms knowledge

Communication skills

Formação académica

Bachelor's or Master's degree in Computer Science or related field

Ferramentas

Docker

Kubernetes

AWS

Azure

GCP

MLflow

Airflow

Kubeflow

SageMaker

Prometheus

Grafana

ELK

Descrição da oferta de emprego

About the job Machine Learning (ML) Ops Engineer

Location: Fully remote

Employment type: Part-time

About Bizmoni Corp.

Bizmoni is the worlds first AI Super App designed to help anyone earn, learn, and grow in the AI era. We are building a global, fully remote team to shape the future of financial technology. Our mission is to make powerful AI-driven financial and business tools accessible to everyone from individuals starting side hustles to enterprises scaling globally.

About the Role:

We are seeking a skilled and driven MLOps Engineer to design, automate, and optimize our machine learning infrastructure. In this role, you will play a crucial part in bridging the gap between data science and operations by streamlining our AI/ML workflows from experimentation to production.

You will collaborate closely with data scientists, data engineers, and developers to ensure our models are secure, scalable, reliable, and cost-efficient. Your work will directly impact thousands of users worldwide by enabling real-time, AI-powered financial insights and business solutions.

If you are passionate about deploying cutting-edge ML technologies and want to be part of a mission-driven fintech startup, we’d love to hear from you!

What You'll Do:

• Design, build, and maintain end-to-end machine learning infrastructure ensuring scalability, high availability, and performance.
• Automate ML pipelines with Docker, Kubernetes, and CI/CD frameworks.
• Collaborate with data scientists and engineers to streamline model deployment.
• Monitor and optimize models in production with observability tools (e.g., Prometheus, Grafana, ELK).
• Manage and optimize cloud infrastructure (AWS, Azure, or GCP) for efficiency and cost.
• Ensure compliance and security protocols for sensitive financial data.
• Provide support and maintenance to ensure the reliability of ML applications.

What You'll Bring:

• Proven experience as an MLOps Engineer or similar role (fintech or AI startup experience is a plus).
• Strong programming skills in Python (preferred); familiarity with Java or Scala is a plus.
• Experience with ML frameworks and pipeline orchestration (MLflow, Airflow, Kubeflow, or SageMaker).
• Hands-on experience with cloud services (AWS, Azure, or GCP).
• Solid knowledge of containerization and orchestration (Docker, Kubernetes).
• Familiarity with Git and CI/CD tools.
• Strong understanding of ML algorithms and their real-world applications.
• Excellent communication and collaboration skills in a remote, cross-timezone team environment.
• Bachelors or Masters degree in Computer Science, Data Science, or related field (or equivalent experience).

Why Youll Love Working at Bizmoni:

• Be part of a mission-driven company building the future of AI-powered FinTech.
• Fully remote role with a global, diverse team.
• Equity-based compensation with the potential for future full-time opportunities.
• Culture of innovation, collaboration, and ownership.

Before Applying, Ask Yourself:

• Are you open to equity-based compensation?
• Are you able to dedicate 16 hours weekly to our project?

If your answers are YES, then we are happy to meet you!

Recruitment Process:

• Interview with Data Science Department Manager & TA Partner.
• Offer (based on final positive feedback).

Please submit youryour English CV.
Only shortlisted candidates will be invited to interview. Thank you.