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?
About us
Our mission is to help companies and individuals solve data analytics problems by covering the full spectrum of the data journey (from ingestion, transformation and finally distribution of data to downstream applications) with a Modern Data Stack. Most companies are lacking internal knowledge to leverage the limitless power of emerging Modern Data Stack tools and our goal is to educate them and implement powerful solutions with those technologies.
We achieve this by creating a new type of consulting company:
- Embracing a culture that prioritizes creativity and strategic thinking
- Incorporating education as one of our key output in each project we deliver
- Ensuring the growth and well-being of our employees
Regarding our technology stack, we are a Google Cloud partner and host most of our solutions on Google Cloud. On the data side, we are relying on a Modern Data Stack and are savvy users of dbt, Airflow and Airbyte. We are always on the lookout for the best technologies and adapt ourselves quickly to market trends.
