Artificial Intelligence and Machine Learning Engineer
hace 3 días
Astrafy Sa is a company at the forefront of the data revolution, helping companies unlock the potential of ML/AI technologies. Our mission is to enable businesses to build, deploy, and scale ML/AI models in production.
Job DescriptionWe are seeking an experienced Artificial Intelligence and Machine Learning Engineer to join our team. As an AI/ML Engineer, you will work on various projects to help our customers achieve their business objectives using ML/AI solutions.
Responsibilities- Engage with stakeholders to understand 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
- Design and develop machine learning models using PyTorch, TensorFlow, and other frameworks
- Implement MLOps practices to automate the training, deployment, and monitoring of models using tools like Kubeflow
- Build scalable pipelines for model training, testing, and deployment
- 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 skills
- Analytics and solution-oriented mindset
- Ability to work well in a team as well as independently
- Excellent communication and collaboration skills (both with colleagues and external stakeholders)
- Fluency in English; knowledge of French or Spanish is a plus
- An attractive salary package (estimated salary: €80,000 - €110,000 per year) with no blurry or hidden clauses
- An exciting job where technology innovation is not a buzzword but a reality
- Be part of a dynamic team that shares strong values
- Continuous training & development of soft and hard skills
- Flexible working hours and remote policies
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