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Salary
≈ $20k – $41k per year (Estimated)
Location
In office (Mumbai)
Seniority
Senior · 4+ years exp

First seen by Alion on Oct 14, 2026.

Overview
Company
Impact
Profile match
Perfios is an Indian fintech founded in 2008 that analyses financial data for lenders. Its platform extracts and scores bank statements, tax filings and business documents. The company serves hundreds of banks and NBFCs.

We are seeking candidates with 4 - 6 years of hands-on experience in Computer Vision, with strong expertise in relevant computer vision technologies and applications.

What your average day would look like:

- Collaborate with product and engineering teams to understand requirements and devise possible solutions.

- Explore existing research papers, ideas and codebases that can be leveraged in current tasks.

- Search for open source datasets and/or design synthetic data pipelines (including data augmentation).

- Devise and implement experiments using DL/ML models.

- Evaluate the experiments to find failure patterns and come up with improvements in data/model architecture/loss function etc.

- Communicate results and ideas to key stakeholders.

- Optimize the models for production and collaborate with software engineers for deployment.

Must have skills:

- Hands-on experience in dealing with image data and CNN based architectures.

- Should have worked on deep learning frameworks (like pytorch, tensorflow, keras etc.).

- Proficient in Python and packages like Numpy, Pandas, OpenCV.

- Good understanding of data structures and algorithms along with OOPS, Git, SDLC.

- Mathematical intuition of ML and DL algorithms.

- Good understanding of Statistics, Linear Algebra and Calculus.

- Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical analyses.

Highly desired:

- Hands on experience with latest computer vision model architectures and concepts like ViTs, GANs, Diffusion, Vision Language Models.

- Knowledge of training and inference optimizations using CUDA, C++, ONNX, TensorRT, OpenVino etc. and profiling of ML pipelines.

- Worked on building production level APIs for serving models (Flask, Django, TF Serving).

- Hands-on experience of using MLOps tools.

- Champion best practices in data science, model development, and deployment while promoting a culture of continuous learning within the team.

Skills

Data Science, Machine Learning, Data Analytics, Python, Statistics, Analytics, Data Scientist, Data Modeling

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