We are seeking a Senior IA/ML Engineer to join our international AI/ML squad, responsible for crafting tailor-made solutions that wow our clients, with a solid technical background and passion for AI development.
Requirements
- More than 7 years of experience in AI / Machine Learning / Computer Science.
- Can build an 'end-to-end software product' which has 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.
- English is mandatory.
- 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 solution.
- 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 y 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)
- Medical and dental insurance (completely free of charge for the employee)
- Individual budget for training or equipment and free Microsoft certifications
- English lessons
- Birthday day off
- Monthly bonus for electricity and Internet expenses at home
- Discount on gym plan and sports activities
- Plain Camp (annual team-building event)
- Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees