Data Scientist - R01563520

Bucharest, Romania, Romania Remote April 8, 2026 Lever
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!!

Role Summary

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.



Role Summary

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.



Perks and Benefits
·       We value your time and lifestyle preferences, so you can choose whether you want to work entirely remotely or from our offices in Cluj-Napoca, Oradea and Bucharest.
·       Access to learning through our internal platform - Percipio.
·       Private health insurance is provided by Medicover.
·       Work from home fixed monthly budget.
·       A monthly budget you can use to purchase flexible benefits through the Edenred Benefit platform.
·       Sports benefit: We encourage you to have a healthy lifestyle. We'll reimburse you within budget for your favorite sporting activity: whether it's football, climbing, gym or other sports.


Take the next step with Brillio. Accelerate What Matters. Be a Catalyst for Tomorrow. Be a Brillian!

Key Responsibilities

  • 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.

Required Skills & Experience

  • 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.
Apply on company site

How to Get Hired at Brillio 2

  • Tailor your resume for each Brillio role by matching the exact technology keywords from the job description — Azure Data Factory, Microsoft Fabric, Power BI, Snowflake, and PySpark appear across many current openings, and Lever's search algorithms rely on precise keyword matches.
  • Position yourself as a consultant, not just a technician — highlight client-facing experience, stakeholder communication, and business outcome delivery in your resume and interview responses, since Brillio's model demands both technical depth and consulting soft skills.
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