First seen by Alion on Oct 14, 2026.
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

