Senior Machine Learning Engineer

Mindera; Blumenau; Presencial; BRL 471 698 - 628 930; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible working hours

Annual trip and sports groups

Training & conferences

Choice of laptop & peripherals

Resumo da oferta

A leading tech company is looking for a Senior Machine Learning Engineer in Blumenau, Brazil. The role involves developing scalable machine learning systems and collaborating across teams to deploy models. The ideal candidate has over 5 years of experience in machine learning, with strong backgrounds in MLOps and predictive modeling. The company offers flexible working hours, training opportunities, and a culture of collaboration and responsibility.

Qualificações

• 5+ years of experience as a Machine Learning Engineer.
• Strong experience with supervised and unsupervised learning.
• Skilled in building predictive models using behavioral data.

Responsabilidades

• Develop large-scale distributed machine learning systems.
• Collaborate with cross-functional teams to deploy models.
• Liaise with BUs for their ML needs.

Conhecimentos

Machine Learning

MLOps

Statistical Forecasting

Model Training

Predictive Modeling

CI/CD

Ferramentas

TensorFlow

PyTorch

Scikit-Learn

Docker

Kubernetes

SageMaker

Descrição da oferta de emprego

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

Responsibilities

• 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

Requirements

• 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

Benefits

• 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.

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