Machine Learning Engineer

buscojobs Brasil; Tocantins; Teletrabalho; BRL 160.000 - 200.000; Tempo parcial

Resumo da oferta

A fintech startup is seeking a skilled MLOps Engineer to design and optimize machine learning infrastructure. This role is fully remote, requiring collaboration with a global team. Ideal candidates will have experience in Python, cloud services, and ML frameworks, dedicated to driving AI solutions for financial insights.

Serviços

Equity-based compensation

Culture of innovation

Global diverse team

Qualificações

• Proven experience as an MLOps Engineer or similar role.
• Strong programming skills in Python; familiarity with Java or Scala.
• Hands-on experience with cloud services (AWS, Azure, or GCP).

Responsabilidades

• Design, build, and maintain end-to-end machine learning infrastructure.
• Automate ML pipelines with Docker, Kubernetes, and CI/CD frameworks.
• Monitor and optimize models in production with observability tools.

Conhecimentos

Python

ML frameworks

Cloud services (AWS, Azure, GCP)

Docker

Kubernetes

CI/CD tools

Communication skills

Formação académica

Bachelor's or Master's degree in Computer Science, Data Science

Ferramentas

MLflow

Airflow

Kubeflow

SageMaker

Descrição da oferta de emprego

Location: Fully remote

Employment type: Part-time

About Bizmoni Corp.

Bizmoni is the world's 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.
• Bachelor's or Master's degree in Computer Science, Data Science, or related field (or equivalent experience).

Why You'll 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 your English CV.

Only shortlisted candidates will be invited to interview. Thank you.

Bizmoni is an equal opportunities employer and welcomes applications from diverse candidates.