This is a full-time, on-site role for a Deep Learning Engineer based in Chennai.

- The Deep Learning Engineer will focus on designing, developing, and optimizing deep learning models for diverse applications.

- Responsibilities include researching novel deep learning methodologies, implementing algorithms, fine-tuning models, and deploying solutions on embedded or cloud platforms.

- Collaboration with cross-functional teams to integrate AI solutions into product pipelines is also part of the role.

Qualifications :

Deep Learning Engineer (2+ years, Immediate joiners).

- Proficiency in AI/ML (DL) and Image Processing fundamentals.

- Strong understanding of Data structures and Algorithms.

- Hands-on expertise with OpenCV, Numpy, PIL libraries.

- Ability to develop Deep Learning models for computer vision challenges on resource-constrained devices.

- Familiarity with Pytorch or Tensorflow frameworks.

- Bonus: Experience in ADAS domain.

- Knowledge of Camera models and birds-eye view projection is a plus.

What Youll Do :

- Build high-performance models : Design, train, and deploy deep neural networks (CNNs, RNNs, LSTMs, Transformers) for tasks across computer vision, NLP, and time-series forecasting.

- Drive predictive intelligence : Apply time-series and anomaly-detection methods to power forecasting and early-warning systems.

- Marry ML with classical methods : Combine deep learning with boosting and ensemble models (XGBoost, LightGBM, CatBoost) to maximize accuracy and stability.

- Benchmark and tune : Run experiments, track results, and iteratively refine hyperparameters, architectures, and loss functions to achieve SOTA performance.

- Collaborate across teams : Partner with product and infra teams to ensure models meet business and latency targets, with strong monitoring and retraining loops.

- Document and share : Write crisp design notes, runbooks, and post-mortems to scale learning across teams.