Company Description
We are a consulting company with a bunch of technology-interested and happy people!
We love technology, we love design and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where each individual is highly valued.
With us, each individual is her/himself and respects others for who they are and we believe that when a fantastic mix of people gather and share their knowledge, experiences and ideas, we can help our customers on a completely different level.
We are looking for you who want to grow with us!
With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility.
Job Description
We are seeking a Data Scientist to design, build, and optimize advanced recommendation and personalization systems. You will own the end-to-end machine learning lifecycle—from exploration and model development to production deployment and monitoring—delivering scalable AI solutions that directly impact customer experience.
What You’ll Do
Design, develop, and maintain recommendation systems and LLM-based applications.
Build and improve data pipelines to ensure robustness and scalability.
Enhance the performance, reliability, and efficiency of production AI systems.
Partner with product managers to identify opportunities and deliver POCs.
Apply MLOps best practices for deployment, monitoring, and ongoing system maintenance.
Conduct ad-hoc analysis and data visualization to support business decision-making.
Qualifications
Core Skills
Strong Python programming skills with production-quality coding experience.
Solid experience in Deep Learning (Computer Vision, NLP).
Expertise with PyTorch, TensorFlow, Scikit-learn.
Proficiency in SQL and large-scale data handling.
MLOps & Deployment
Hands-on experience with MLOps & CI/CD pipelines in GCP (Vertex AI).
Skilled in Docker & Kubernetes for scalable deployments.
Experience building and deploying REST APIs.
Knowledge of DBT for data transformation and orchestration.
Familiarity with Redis for caching and real-time systems.
Additional Information
Start: Immediate
Remote work allowed: 100%
Form of employment: Full-time until further notice, we apply 6 months probationary employment.
We interview candidates on an ongoing basis, do not wait to submit your application.