Software Engineer (AI/ML/CV)

• Bachelors or Masters Degree in Computer Science or related disciplines.

• 2 - 4 years of experience required.

• At least 1 year of experience with LLMs/VLMs including their architecture, training, datasets, and knowledge of SOTA models and frameworks to leverage these models.

• Strong theoretical and prior experience of CNNs and Transformers including their usage in at least one successful product deployment

• Fluency in Python Programming.

• Working knowledge of C/C++ desirable.

• Familiarity with ML Frameworks like Pytorch, TensorFlow etc.

• Familiarity with MLOps, including Model Quantization, usage of annotation tools and model versioning tools like MLFlow.

• Strong background in Mathematics and Statistics.

• Sharp problem solving skills and ability to resolve ambiguous requirements

• Familiarity with Dockers.

• Handle all aspects of data filtering and agglomeration.

• Collaborate with other ML Engineers to brainstorm on best practices, updates on SOTA models.

• Handle all translation of problem requirements to choice of architecture, codebase, and datasets. Enhancements of in-house/available open-source repositories to meet problem requirements.

• Work with data labeling teams to handle annotation metadata for your datasets.

• Handle all aspects of the Machine Learning cycle including data preprocessing, augmentations, training, model and experiment versioning, ablation studies and benchmarking.

Summary

In this role, you will take end-to-end ownership of converting complex problem statements into scalable, state-of-the-art machine learning solutions. Working at the intersection of data engineering, research, and deployment, you will harness LLMs, VLMs, and Transformer architectures to build, optimize, and version high-impact models alongside a collaborative team of ML engineers.

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