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AI Engineer
hace 1 mes
We are seeking a highly skilled AI Engineer to join our international AI / ML team. As a key member of our team, you will be responsible for developing tailored solutions to satisfy our client's needs.
You will be working on challenging projects using cutting-edge technologies, and will be part of a multidisciplinary team taking care of the software engineering challenges associated with AI.
Our vision is to build multidisciplinary teams which directly manage projects in an AGILE way to find and implement the best solutions.
Responsibilities:
- Participating in the design and development of AI solutions for challenging projects.
- Building production level ML / AI solutions, with solid software engineering and ML / AI principles.
- MLOps.
- Automated deployment and monitoring (models and infrastructure).
- Data analysis (data cleaning, variable transformation, etc.).
- Developing and training ML models.
- Putting AI models into production.
Requirements:
- More than 5 years of experience in AI / Machine Learning / Computer Science.
- Can build an end-to-end software product which has a machine learning component.
- Knowledge in applied computer vision.
- Strong skills in Python and reasonable SQL understanding.
- Experience in building ML / deep learning pipelines and models.
- Experience in implementing production-ready ML models using current ML / Deep learning techniques.
- MLOps experience is very valuable for the team.
- Experience in projects with NLP is necessary.
Very nice to have:
- Experience with Deep learning frameworks like Tensorflow, PyTorch, etc.
- Experience with Big Data projects and tools.
- Experience writing RESTful web services.
- Experience with DevOps technology (Docker, Continuous Integration and Continuous Deployment, etc.).
- Experience with source code version control tools.
- Experience working with Azure or other cloud-based solutions.
Azure Machine Learning:
- Experience with Azure Machine Learning is a plus, although not essential.
- Deep learning and neural networks. Expertise in deep learning and high-level neural networks.
Experience with one or more of the following:
- Natural Language Processing, Computer Vision, recommendation systems, unsupervised learning, ranking systems or similar.
- TensorFlow Lite, TensorFlow serving and gRPC.
- Unit testing knowledge.
- Solid object-oriented programming skills.
Benefits:
- Salary determined by the market and your experience.
- Flexible schedule 35 Hours / Week.
- Fully remote work (optional).
- Flexible compensation (restaurant, transport, and childcare).