Senior Data Scientist

Perfios; Mumbai; Presencial; INR 1 200 000 - 1 800 000; Tempo integral

Resumo da oferta

Perfios is seeking a hands-on Computer Vision Engineer with 4–6 years of experience to work on image-based ML/DL projects. You will collaborate with product and engineering teams, explore research literature, and design synthetic data pipelines for robust model development.

You will implement experiments with DL/ML models, evaluate results, and optimize models for production, coordinating with software engineers for deployment. Strong Python, OpenCV, and CNN experience are essential.

Qualificações

• Hands-on experience with image data and CNN architectures.
• Experience with PyTorch, TensorFlow or Keras.
• Proficient in Python and libraries like NumPy, Pandas, OpenCV.
• Strong knowledge of data structures, algorithms, OOP, Git and SDLC.
• Mathematical intuition of ML and DL algorithms.
• Solid grounding in statistics, linear algebra and calculus.
• Ability to perform rigorous model evaluation via statistical analysis.

Responsabilidades

• 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.

Conhecimentos

CNN architectures

Python

Numpy

Pandas

OpenCV

Deep learning frameworks

Data structures and algorithms, OOPS,

ML/DL algorithms intuition

Statistics

Linear Algebra

Calculus

Model evaluation

Experiment design

Ferramentas

CUDA

ONNX

TensorRT

OpenVINO

Flask

Django

TF Serving

Descrição da oferta de emprego

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.