Senior AI Engineer (Generative AI & MLOps)

• More than 7 years of experience in AI / Machine Learning / Data Science.
• Capable of leading projects independently and mentoring other engineers.
• Experience building an "end-to-end software product" which has AI or Machine Learning components.
• Experience working with Azure or other cloud-based solution.
• Strong skills in Python and reasonable SQL understanding.
• Experience in testing as essential part of development (unit, integration, etc.).
• Strong background in NLP and Computer Vision.
• Hands-on experience across the end-to-end ML lifecycle, from development to production deployment, including designing and building scalable ML pipelines.
• Experience with ML frameworks (TensorFlow, Pytorch) and MLOps tools (MLOps experience is very valuable for the team).
• Experience using GitHub Copilot or similar AI coding tools in real development workflows.
• Constant drive to learn and ability to learn quickly.
• Strong team player mindset.
• Fluent english and spanish (mandatory).

• Experience with Big Data tools and cloud platforms (especially Azure).
• RESTful API development and DevOps practices (docker, CI/CD).
• Familiarity with recommendation systems, unsupervised learning, and ranking models.
• Cognitive services, Agentic AI...
• Knowledge of TensorFlow Lite, TensorFlow Serving, gRPC, and unit testing.
• Strong object-oriented programming skills.

🚀 We're Growing Our AI Dream Team!

Titles? Meh, we're not big on them, but let's call this one Data Scientist like the other colleagues at the team 😉

As part of our international AI/ML squad, you'll craft tailor-made solutions that wow our clients. We're hunting for a passionate Senior 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:

• You'll tackle the unique challenges of AI-powered software alongside a team of brilliant minds.
• You'll dive into cutting-edge projects using the latest tech to push boundaries and make an impact.
• Whether you prefer working from home or vibing with us at our offices, the choice is yours.
• 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! 😊

• 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/AI models.
• Putting AI models into production. This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment.