Apply on Kit Job: kitjob.in/job/4qudel

As a Senior Data Scientist specializing in Computer Vision, your role involves designing, developing, and deploying scalable AI solutions.

Your primary responsibilities will include:

- Designing, developing, and deploying advanced deep learning models for computer vision use cases such as Image Classification, Object Detection, Image Segmentation, and Video Analytics.
- Building scalable ML pipelines using tools like Databricks, MLflow, and Delta Lake.
- Performing data preprocessing, augmentation, feature engineering, and optimization for large-scale image/video datasets.
- Implementing modern computer vision techniques including CNN architectures, Transfer Learning, and Transformer-based Vision Models.
- Managing MLOps best practices such as model versioning, CI/CD pipelines, automated deployment, monitoring, and retraining strategies.
- Collaborating with cross-functional teams including engineering, product, and business stakeholders.
- Optimizing models for performance, scalability, and cost efficiency in Azure cloud environments.
- Ensuring adherence to coding standards, documentation, and best practices. In terms of required technical skills, you should have:
- Strong programming expertise in Python.
- Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, and Keras.
- Strong knowledge of computer vision algorithms and architectures.
- Experience with Databricks Notebooks, MLflow, and Delta Lake.
- Solid understanding of MLOps frameworks and deployment workflows.
- Experience handling large-scale image and video datasets.




- Familiarity with UNIX/Linux environments and command-line automation. Additionally, it would be beneficial if you have:
- Exposure to Natural Language Processing (NLP).
- Experience with transformer-based multimodal models.
- Experience working in enterprise-scale AI implementations.
- Knowledge of Git-based workflows and DevOps practices. On the soft skills front, you should possess:
- Robust communication and stakeholder management skills.
- Ability to lead technical discussions and mentor junior team members.
- Self-driven with a strong sense of ownership and accountability. As a Senior Data Scientist specializing in Computer Vision, your role involves designing, developing, and deploying scalable AI solutions.

Your primary responsibilities will include:

- Designing, developing, and deploying advanced deep learning models for computer vision use cases such as Image Classification, Object Detection, Image Segmentation, and Video Analytics.
- Building scalable ML pipelines using tools like Databricks, MLflow, and Delta Lake.
- Performing data preprocessing, augmentation, feature engineering, and optimization for large-scale image/video datasets.
- Implementing modern computer vision techniques including CNN architectures,



Transfer Learning, and Transformer-based Vision Models.
- Managing MLOps best practices such as model versioning, CI/CD pipelines, automated deployment, monitoring, and retraining strategies.
- Collaborating with cross-functional teams including engineering, product, and business stakeholders.
- Optimizing models for performance, scalability, and cost efficiency in Azure cloud environments.
- Ensuring adherence to coding standards, documentation, and best practices. In terms of required technical skills, you should have:
- Strong programming expertise in Python.
- Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, and Keras.
- Strong knowledge of computer vision algorithms and architectures.
- Experience with Databricks Notebooks, MLflow, and Delta Lake.
- Solid understanding of MLOps frameworks and deployment workflows.
- Experience handling large-scale image and video datasets.
- Familiarity with UNIX/Linux environments and command-line automation. Additionally, it would be beneficial if you have:
- Exposure to Natural Language Processing (NLP).
- Experience with transformer-based multimodal models.
- Experience working in enterprise-scale AI implementations.
- Knowledge of Git-based workflows and DevOps practices. On the soft skills front, you should possess:
- Strong communication and stakeholder management skills.
- Ability to lead technical discussions and mentor junior team members.
- Self-driven with a strong sense of ownership and accountability.

Apply on Kit Job: kitjob.in/job/4qudel

📌 Senior Data Scientist - Computer Vision (India)
🏢 NS Global
📍 India