Machine Learning Engineer
HangFull Time
Senior (5 to 8 years)
Porto, Porto District, Portugal
Key technologies and capabilities for this role
Common questions about this position
Yes, the position is remote, with options to work from Mindera's offices in Porto, Aveiro, and Coimbra or remotely from Portugal; remote from other countries depends on location and projects.
Key requirements include strong proficiency in Python, hands-on experience with graph and vector databases, familiarity with graph algorithms, deep understanding of embeddings and vector search, experience with prompt optimization and LLM fine-tuning, and knowledge of LangChain or equivalent frameworks.
Benefits include health insurance, flexible working hours, open holidays, profit distribution, annual trips, sports and sharing groups, training and conferences, child care vouchers, choice of laptop and peripherals, unlimited hotspot usage, snacks at offices, and partnerships with local businesses.
Mindera fosters a lean, self-managing culture that encourages taking risks, making decisions, collaborative work, open communication, team ownership of projects, and continuous learning with great people.
A Bachelor's degree in Computer Science or related field, at least 4 years of professional experience as an AI Engineer or similar, and strong technical writing skills for documentation are essential, along with the listed technical proficiencies.
Develops AI tools for sustainable agriculture
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.