Machine Learning Engineer

What you get to do in this role:

1. Develop algorithms that apply deep learning and innovative methods in NLP & computer vision, combined with traditional large sophisticated solutions/codebases!
2. Developing innovative solutions using Generative AI, Python, Machine Learning and Data Science!
3. Build experiments, algorithms and ship solution that not only yield high accuracy but are also crafted and engineered to scale.
4. Collaborate across multiple research and engineering teams, making the tradeoffs required to rapidly deliver AI/ML software solutions.

In order to be successful, we need someone who has:

1. B.Tech in Computer Science. MS/PhD preferred.
2. 3+ years hands-on experience in either deep-learning models, Image processing, Vision and/or NLP.
3. Ability to write efficient, clean, and reusable code in Python. Knowledge of C++.
4. Broad Machine Learning experience – Data, Modelling, Metric, Analysis of Results.
5. Experience in prompt-engineering and working with advanced-RAG systems.
6. Exposure to Deep Learning - CNNs, LSTMs, Transformers, network architecture, network tuning, transfer learning, multi-task learning. Hands-on coding in pyTorch or Tensorflow.
7. Exposure in building solutions from scratch and writing maintainable code inside large existing codebases.
8. Strong software development skills that encourage code reuse among engineers and researchers.