Senior Data Scientist/MLOps
Role details
Job location
Tech stack
Job description
As part of our international AI/ML squad, you'll craft tailor-made solutions that wow our clients. We're hunting for a passionate AI Engineer with a solid technical background. Your mission? Train, deploy, and put groundbreaking developments into action - and that's just the beginning.
Here's the deal:
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You'll tackle the unique challenges of AI-powered software alongside a team of brilliant minds.
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You'll dive into cutting-edge projects using the latest tech to push boundaries and make an impact.
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Whether you prefer working from home or vibing with us at our offices, the choice is yours.
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AGILE isn't just a buzzword here - it's how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check. Ready to take on projects that matter, with a team that's as passionate as you are? Let's make it happen! You will be responsible for:
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Participating in the design and development of AI solutions for challenging projects.
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Building production level ML/AI solutions, with solid software engineering and ML/AI principles.
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MLOps Automated deployment and monitoring (models and infrastructure).
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Data analysis (data cleaning, variable transformation, etc.).
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Developing and training ML models.
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Putting AI models into production.
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This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment.
Requirements
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More than 5 years of experience in AI / Machine Learning / Computer Science.
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Can build an "end-to-end software product" which has machine learning component.
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Knowledges in applied computer vision.
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Strong skills in Python and reasonable SQL understanding.
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Experience in building ML/deep learning pipelines and models.
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Experience in implementing production ready ML models using current ML/Deep learning techniques.
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MLOps experience is mandatory for the team
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Experience in projects with NLP/Gen IA is neccesary
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Very valuable your international and presales experience
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ENGLISH IS MANDATORY Very nice to have:
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Experience with Deep learning frameworks like Tensorflow, PyTorch etc.
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Experience with Big Data projects and tools.
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Experience writing RESTful web services.
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Experience with DevOps technology (Docker, Continuous Integration and Continuous Deployment, etc.)
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Experience with source code version control tools.
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Experience working with Azure or other cloud-based solution.
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Azure Machine Learning: Experience with Azure Machine Learning is a plus, although not essential.
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Deep learning and neural networks.
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Expertise in deep learning and high-level neural networks.
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Experience with one or more of the following: Natural Language Processing, Computer Vision, recommendation systems, unsupervised learning, ranking systems or similar.
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TensorFlow Lite, TensorFlow serving y grpc.
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Unit testing knowledge.
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Solid object-oriented programming skills.
Benefits & conditions
- 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 The pleasure of always working with the latest technological tools! Will you let us know you better? The selection process: Simple, just 3 steps.