Machine Learning Engineer

Mindera; Blumenau; Presencial; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

Mindera is seeking a Machine Learning Engineer to develop advanced machine learning systems. The ideal candidate will collaborate with cross-functional teams and manage ML pipelines. This position offers opportunities to evaluate and adopt new technologies while working in a supportive and self-organizing environment.

Serviços

Flexible working hours

Annual company trip and sports activities

Training and conferences with personalized plans

Choice of laptop and peripherals

Qualificações

• 5+ years of experience as a Machine Learning Engineer.
• Strong knowledge in supervised and unsupervised learning techniques.
• Proficiency in using ML frameworks like TensorFlow and PyTorch.

Responsabilidades

• Develop large-scale distributed machine learning systems.
• Collaborate with cross-functional teams to integrate ML models.
• Optimize feature extraction and manage feature stores.

Conhecimentos

Supervised learning

Unsupervised learning

Survival analysis

Time series modeling

Statistical forecasting

Building predictive models

MLOps practices

Business-oriented mindset

Formação académica

Bachelor's degree in Computer Science, Data Science, or a related field

Ferramentas

TensorFlow

Scikit-Learn

PyTorch

Docker

Kubernetes

Airflow

SageMaker

MLflow

Descrição da oferta de emprego

We are looking for a Machine Learning Engineer to work closely with the ML Architect to develop on ML frameworks (TensorFlow, Scikit-Learn, Pytorch), Experimentation platform and tools.

This role has the responsabilities to:

• Develop large-scale distributed machine learning systems that are scalable, performant, efficient, and reliable
• Collaborating with cross-functional teams to help deploy/integrate machine learning models.
• Liaise with the BUs for their ML needs and work on the cross-BU ML portfolio.
• Optimize feature extraction, transformation and selection.
• Work with and manage.
• Feature Stores for reusability across ML pipelines.
• Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
• Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities

• 5+ years of experience as a Machine Learning Engineer.
• Strong experience with supervised and unsupervised learning, survival analysis, time series modeling, and statistical forecasting.
• Skilled in building predictive models (e.g. churn, user journey, sales forecasting) using behavioral data.
• Proficient with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Experienced in model training, versioning, and monitoring.
• Solid background in MLOps practices: CI/CD, Docker, Kubernetes, Airflow, SageMaker, MLflow, model observability tools, and feature stores.
• Business-oriented mindset: ability to connect model outcomes to product and strategic goals

The Things We Really Care About:

• Flexible working hours
• Mindera Annual Trip, Sports, and sharing groups to connect and have fun!
• Training & conferences, create your own training plan
• Choose Laptop & Peripherals that best suit your needs

Most of all you get to work with a bunch of great people, where the whole team owns the project together in a politics-free environment. Our culture reflects our lean and self-organization attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. Freedom and Responsibility go hand in hand, and we value commitment, feedback, and empathy.

About Mindera

At Mindera we use technology to build products we are proud of, with people we love.

Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera.

We partner with our clients, to understand their products and deliver high-performance, resilient, and scalable software systems that create an impact on their users and businesses across the world.

You get to work with a bunch of great people, where the whole team owns the project together.

Our culture reflects our lean and self-management attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication.

We are proud of our work and we love to learn all and everything while navigating through an Agile, Lean and collaborative environment.

Check out our Blog and our Handbook!

Our offices are located: Porto, Portugal | Aveiro, Portugal | Coimbra, Portugal | Leicester, UK | San Diego, USA | San Francisco, USA | Chennai, India | Bengaluru, India | Cluj-Napoca, Romania | Blumenau, Brazil