Senior Data Scientist

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.

Work arrangement
Hybrid