Salary not disclosed
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Role overview
Job description
- 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.
About this listing
- Source: Brillio's official careers site · still listed there on 9 Nov 2026
- Posted 6 Apr 2026
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What they are looking for
Skills & requirements
Qualification
Required Skills & Experience 5-8 years of experience in data science or applied ML
Department · AI & Data Engineering
Hiring company
Brillio
Brillio helps Fortune 1000 companies move AI from pilot to production with ADAM, agentic AI, data engineering, cloud and CX. OpenAI Select Partner.
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