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Data Scientist - NLP/Computer Vision

TekPillar Services Pvt. Ltd
Multiple Locations
3 - 8 Years
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4.7white-divider52+ Reviews

Posted on: 07/12/2025

Job Description

Job Opening : Data Scientist | 35 Years | Bangalore



Location : Bangalore



Experience : 35 Years (Total 46 Years IT Preferred)



Role : Data Scientist Deep Learning, Computer Vision


About the Role :


We are looking for an experienced Data Scientist with strong expertise in Deep Learning, Computer Vision, Python programming, and Azure Cloud. The ideal candidate should have hands-on experience building and deploying scalable machine learning solutions for real-world image/video analytics.


Educational Qualifications :


- B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or related fields.


- Masters degree in Computer Science, AI, Deep Learning, or Computer Vision is highly preferred.


Experience Requirements :


- 4 - 6 years of total IT experience.


- Minimum 3+ years in Data Science with a proven track record in deep learning.


- Experience in designing, training, optimizing, and deploying deep learning models.


Strong hands-on expertise in computer vision tasks such as :


- Image Classification


- Object Detection


- Image Segmentation


- Video Analytics


Technical Skills :


- Programming & Frameworks


- Strong expertise in Python.


- Deep learning frameworks : TensorFlow, PyTorch, Keras.


ML & MLOps :


- Experience with Databricks, MLflow, and Delta Lake.


Knowledge of MLOps practices :


- Model versioning


- Model registry


- CI/CD pipelines


- Automated deployment


Computer Vision :


Proficiency in :


- CNNs


- Transfer Learning


- Transformer-based vision architectures (ViT, DETR, etc.)


- Data processing for large-scale image/video datasets.


Additional Skills :


- Exposure to NLP techniques is a plus.


- Experience in UNIX/Linux environments and shell scripting.


Cloud & Infrastructure :


- Strong hands-on expertise in Azure Cloud ecosystem.


- Familiar with Azure ML, Azure Storage, Azure DevOps pipelines, Kubernetes (preferred).


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