Mineral

ML Architect

Porto, Porto District, Portugal

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

InternshipJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, Data EngineeringIndustries

Requirements

The ideal candidate should possess 5-7 years of experience in ML System Architecture & Design, with demonstrated expertise in working with Databricks, Snowflake, and SageMaker. They should also have experience in Performance Optimization and Model Monitoring setup.

Responsibilities

The ML Architect will collaborate with Data Scientists and the AI/ML community to translate business problems into scalable ML solutions, define model serving strategies, design and implement an ML Experimentation Platform, standardize ML pipelines, and manage ML Metadata Storage. Furthermore, they will develop and maintain a feature repository, ensure model governance and compliance, build and own the ML Portfolio based on business unit needs, and provide administrative support for ML Infrastructure on Databricks, Snowflake, and Sagemaker, while also publishing best practices.

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.

Key Metrics

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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