Mineral

ML Engineer

Blumenau, State of Santa Catarina, Brazil

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
GamingIndustries

ML Engineer

Position Overview

  • Location Type: Remote
  • Job Type: Not Specified
  • Salary: Not Specified

We are looking for an ML 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 responsibilities to:

  • Develop large-scale distributed machine learning systems that are scalable, performant, efficient, and reliable
  • Collaborate 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

  • 3-5 years of experience as an ML Engineer, preferably with a Gaming industry background.
  • Experienced with ML frameworks (TensorFlow, Scikit-Learn, Pytorch).
  • Experienced with Model training, versioning and monitoring.
  • Strong background in MLOps practices, including:
    • CI/CD
    • Containerization (Docker)
    • Orchestration frameworks (Kubernetes, Airflow)
    • Model serving tools (AWS SageMaker, Databricks MLFlow)
    • Model observability frameworks
    • Automation and feature stores

Responsibilities

  • Develop large-scale distributed machine learning systems.
  • Collaborate with cross-functional teams on model deployment and integration.
  • Liaise with Business Units (BUs) regarding their ML needs and contribute to the cross-BU ML portfolio.
  • Optimize feature extraction, transformation, and selection.
  • Manage and work with Feature Stores for reusability.
  • Ensure scalability, reliability, and cost efficiency of the machine learning platform.
  • Contribute to evaluating and adopting new technologies.

Application Instructions

  • Not Specified

Company Information

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.

Our Culture:

  • 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.
  • 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.

Our Offices:

  • Porto, Portugal
  • Aveiro, Portugal
  • Coimbra, Portugal

Check out our Blog and our Handbook!

Skills

TensorFlow
Scikit-Learn
Pytorch
ML Frameworks
Distributed Machine Learning
Model Training
Model Versioning
Model Monitoring
MLOps
CI/CD
Docker
Kubernetes
Airflow
AWS SageMaker
Databricks MLFlow
Model Observability
Feature Stores
Automation

Mineral

Develops AI tools for sustainable agriculture

About Mineral

Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.

Mountain View, CaliforniaHeadquarters
N/AYear Founded
VENTURE_UNKNOWNCompany Stage
Food & Agriculture, AI & Machine LearningIndustries
51-200Employees

Risks

Transition from Alphabet may lead to financial instability and resource loss.
Licensing model could reduce control over technology application and revenue stability.
Difficulty in monetizing technology indicates challenges in creating durable revenue streams.

Differentiation

Mineral.ai uses AI and ML to revolutionize agriculture with precision tools.
The company partners with industry leaders like Driscoll's for real-world technology applications.
Mineral.ai's licensing model allows broad integration into existing agribusiness systems.

Upsides

Licensing model increases market reach and technology integration in agribusiness.
Partnerships with companies like Driscoll's enhance technology application and sustainability goals.
Growing interest in agrivoltaic systems offers new partnership opportunities for Mineral.ai.

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