Mineral

ML Architect

Porto, Porto District, Portugal

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
InternshipJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Data EngineeringIndustries

ML Architect

Position Overview

  • Location Type: Remote
  • Job Type: [Employment Type - Not Specified]
  • Salary: Not Specified

Description: We are looking for an ML Architect to collaborate with Data Scientists and the AI/ML community across Business Units (BUs), Data Engineering, Subject Matter Experts (SMEs), and technical leads to help evangelize and translate business problems into scalable ML solutions across the client. This role will be responsible for:

  • Defining model serving strategies (batch, real-time, streaming inference).
  • Designing and implementing the ML Experimentation Platform, Hyperparameter Optimization (HPO), standardization of ML pipelines, and ML Metadata Storage.
  • Developing and maintaining the feature repository, model governance, and compliance.
  • Building and owning the ML Portfolio based on BU needs.
  • Supporting ML Infrastructure as an administrator on Databricks, Snowflake, and Sagemaker.
  • Owning and publishing best practices.

Requirements

  • 5-7 years of experience in ML System Architecture & Design.
  • Experienced with Databricks, Snowflake, and SageMaker.
  • Experience with Performance Optimization and Model Monitoring setup.

Responsibilities

  • Define model serving strategies (batch, real-time, streaming inference).
  • Design and implement ML Experimentation Platform, HPO, standardization of ML pipelines, and ML Metadata Storage.
  • Develop and maintain the feature repository, model governance, and compliance.
  • Build and own the ML Portfolio based on BU needs.
  • Support ML Infrastructure as an administrator on Databricks, Snowflake, and Sagemaker.
  • Own and publish best practices.

Benefits

  • Health Insurance
  • Flexible working hours
  • Open holidays (take the time you need)
  • Profit distribution for everyone
  • Mindera Annual Trip, Sports, and sharing groups
  • Training & conferences (create your own training plan)
  • Child Care vouchers
  • Choose Laptop & Peripherals
  • Hotspot with unlimited usage (PT)
  • Offices in Porto, Aveiro, and Coimbra (optional)
  • Remote work options (depending on location and projects)
  • Partnerships with local businesses
  • Work with a great team that owns the project together in a politics-free environment.
  • Culture that encourages risk-taking, decision-making, collaboration, and communication.
  • Freedom and Responsibility

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.

Skills

ML System Architecture
ML Pipelines
Model Serving Strategies
ML Experimentation Platform
Hyperparameter Optimization (HPO)
ML Metadata Storage
Feature Repository
Model Governance
Model Monitoring
Databricks
Snowflake
SageMaker
Performance Optimization
ML Infrastructure Administration

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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