Data Science Engineer - Machine Learning (2-8 yrs)

Job Description :

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

Experience : 2 - 7 Yrs

Job Location : Bangalore/Delhi/Mumbai