ML/AI Engineer
Madrid, Hybrid
Astrafy
We transform your data into a competitive advantage with scalable, customized, and fully automated solutions, designed to meet your unique needs. We cover everything from Data Engineering, Analytics Engineering, DataOps, Security and Google...Your mission
As an ML/AI Engineer at Astrafy, you will work on various projects to help our customers build, deploy, and scale ML/AI models in production. You will collaborate closely with both technical and business teams to create tailored ML/AI solutions.
On the business side:
Engage with stakeholders to understand the business objectives and identify ML/AI opportunities.
Analyze available data sources to assess feasibility and design model deployment strategies.
Define and align project goals with measurable KPIs.
On the technical side:
Design and develop machine learning models using PyTorch, TensorFlow and other frameworks.
Implement MLOps practices to automate the training and deployment and monitoring of models using tools like Kubeflow
Build scalable pipelines for model training, testing, and deployment.
Ensure that models are fully automated, from data preprocessing to production deployment.
Collaborate with data engineers and other stakeholders to optimize model performance.
In addition to these responsibilities, Astrafy values knowledge sharing and thought leadership. We actively contribute to platforms like Medium and LinkedIn, publishing articles and sharing insights to grow our community and industry presence.
You will be encouraged to contribute by writing articles that enhance Astrafy’s impact and foster collaboration across the industry.
Your profile
Proficiency in machine learning algorithms, model development, and deployment
Strong understanding of MLOps practices for automating the full model lifecycle
Experience with Google Cloud, particularly Vertex AI and BigQuery
Experience working on solutions using LLMs especially in Retrieval Augmented Generation
Strong programming skills in Python and frameworks like TensorFlow or PyTorch
Familiarity with data preprocessing, model tuning, and performance optimization
Attention to detail and quality with excellent problem-solving
You have an analytics and solution-oriented mindset
You work well in a team as well as independently
Excellent communication and collaboration skills (both with your colleagues as well as with external stakeholders)
You are fluent in English; knowledge of French or Spanish is a plus
Ability to work independently and in teams, with excellent problem-solving and communication skills
Experience with LangChain, LangGraph, dbt is a plus
You must be eligible to work in Europe
This role is not just a job; it's an opportunity to be at the forefront of the data revolution, helping companies unlock the potential of ML/AI technologies. If you are passionate about ML/AI, thrive in dynamic environments, and are eager to make a significant impact, we would love to hear from you.
Was this list a bit much? Don't worry - we don't expect you to tick every box from the beginning.
Why us?
An attractive salary package, with no blurry or hidden clauses. Everything we offer is open-source via our Gitbook. Check it out here (https://astrafy.gitbook.io/handbook/its-all-about-people/compensation).
An exciting job where technology innovation is not a buzzword but a reality.
Be part of a dynamic team that shares strong values. Check out our “Culture and Values” chart here (https://docs.astrafy.io/handbook/the-company/culture-and-values).
Continuous training & development of soft and hard skills. Check out our training policy here (https://docs.astrafy.io/handbook/its-all-about-people/training).
Flexible working hours and remote policies. Check it out here (https://docs.astrafy.io/handbook/the-company/remote-work).
An excellent team of colleagues & regular team-building activities. Check it out here (https://docs.astrafy.io/handbook/its-all-about-people/team-building-and-retreat).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery dbt GCP Google Cloud KPIs Kubeflow LangChain LLMs Machine Learning ML models MLOps Model deployment Model training Open Source Pipelines Python PyTorch TensorFlow Testing Vertex AI
Perks/benefits: Career development Flex hours Team events
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