Offer summary

Qualifications:

Strong Python programming skills, Hands-on experience with data science libraries like OpenCV and scikit-learn, Working experience with deep learning frameworks such as Tensorflow and Keras, In-depth understanding of Computer Vision and Deep Learning algorithms..

Key responsibilities:

Manage end-to-end data science project life cycles including data collection and model deployment

Work on common Machine Learning techniques related to Time series, Regression, and Classification

Collaborate on Computer Vision use cases like Object Detection and Segmentation

Engage with cloud environments and understand data science infrastructure.

Job description

Strong Python programming skills

Hands-on experience with common data science and computer vision libraries like OpenCV, scikit-learn, numpy, pandas, mathplotlib etc.

Working experience with deep learning frameworks like Tensorflow, Keras, Pytorch

In-depth understanding and working experience in Computer Vision, Deep Learning algorithms and their usage

Working experience in common CV/DL use cases like Object Detection, Classification, Segmentation etc.

Nice to have some experience working with edge devices like Jetson, Raspberry Pi etc.

Primary Skills: - Deep learning with NPL or NLP expert

Core Experience- 6+yrs

Shift- regular

• Good knowledge in Deep learning and NLP on ML algorithms and their usage

• Working experience in end to end data science project life cycles from use case framing, data collection, data exploration, model building, deployment

• Working experience in most of the common Machine Learning techniques related to Time series, Regression, Classification, Clustering, NLP, working with IoT data

• Good to have working exposure in common cloud environments and understanding of robust on premise data science infrastructure.

• Nice to have an understanding of big data related technologies and DevOps(Dockers, Singularity

Required profile