Brillio 221d ago

Data Scientist - R01563520

BucharestRemoteEmployeemid

Data ScienceData EngineeringData ScientistDataData & AI

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Overview

About Brillio Born digital in 2014, Brillio is a powerhouse of digital transformations. Orchestrated around the superpowers of technology – Cloud, AI, Mobile, IoT,

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Data ScienceData EngineeringData ScientistDataData & AI

About Brillio

Born digital in 2014, Brillio is a powerhouse of digital transformations. Orchestrated around the superpowers of technology – Cloud, AI, Mobile, IoT, we are a partner of choice for leading companies around the world, helping them leverage digital technologies. We have a global workforce of 6000+ people present in 15 locations across 6 countries – USA, Canada, Mexico, UK, Romania, and India. We have been consistently certified by Great Place To Work® institute in USA, India, UK, and Romania for our strong foundational values and employee-centric culture.

Brillio Romania

We are a dynamic and rapidly growing company with over 250 colleagues country wide and offices in Cluj, Oradea and Bucharest. With its fast-paced growth, the company has consistently demonstrated an unwavering commitment to client satisfaction.

At Brillio Romania, we know our success comes from the innovative contributions and brilliant work of our people. So, we make fostering a positive work environment our top priority. Our colleagues not only thrive, but they also have the chance to build long and fulfilling careers, fostering a sense of stability and dedication that ultimately benefits both the company and our valued clients.

Accelerate YOU at Brillio!!

The Senior Data Scientist develops and deploys advanced analytics and machine learning solutions on Azure, with a focus on image processing and computer vision use cases. The role combines modeling, experimentation, and production deployment.

Build and deploy ML and CV models using Python.
Work on image processing use cases (classification, detection, anomaly detection).
Perform feature engineering, model training, and evaluation.
Collaborate with Data Engineers on scalable ML pipelines.
Deploy models using Azure ML and Databricks.
Communicate insights and results to technical and business stakeholders.

5-8 years of experience in data science or applied ML.
At least 1 year of hands‑on image processing / computer vision experience.
Strong Python skills and ML libraries (Pandas, NumPy, Scikit‑learn).
Experience with PyTorch or TensorFlow.
Hands‑on experience with Azure ML and/or Databricks.
Solid understanding of statistics and model evaluation.
Nice to Have: Exposure to Foundry, Experience deploying CV models to production, Familiarity with MLOps concepts.