: Senior Data Scientist Computer Vision
- Location : Bangalore (Work from Office)
- Employment Type : Full-Time
- Experience : 6+ Years (Minimum 4+ Years in Data Science)
Role Overview
We are looking for a highly skilled Senior Data Scientist with strong expertise in Computer Vision and Deep Learning to design, develop, and deploy scalable AI solutions. The ideal candidate should have hands-on experience in building production-grade deep learning models for image and video analytics use cases and implementing MLOps best practices within Azure-based environments.
This role requires strong problem-solving capabilities, architectural thinking, and experience working with large-scale datasets and cloud-native platforms.
Key Responsibilities
- Design, develop, and deploy advanced deep learning models for computer vision use cases including :
- Image Classification
- Object Detection
- Image Segmentation
- Video Analytics
- Build scalable ML pipelines using Databricks, MLflow, and Delta Lake.
- Perform data preprocessing, augmentation, feature engineering, and optimization for large-scale image/video datasets.
- Implement model training, validation, hyperparameter tuning, and performance benchmarking.
Apply Modern Computer Vision Techniques Including
- CNN architectures
- Transfer Learning
- Transformer-based Vision Models (e.g., ViT)
- Implement and manage MLOps best practices, including:
- Model versioning
- CI/CD pipelines
- Automated deployment
- Monitoring and retraining strategies
- Work closely with cross-functional teams including engineering, product, and business stakeholders.
- Optimize models for performance, scalability, and cost efficiency in Azure cloud environments.
- Ensure adherence to coding standards, documentation, and best practices.
Required Technical Skills
- Strong programming expertise in Python.
Hands-on Experience With Deep Learning Frameworks
- TensorFlow
- PyTorch
- Keras
- Strong knowledge of computer vision algorithms and architectures.
- Experience with:
- Databricks Notebooks
- MLflow
- 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.
- Strong problem-solving and analytical skills.
Cloud & Infrastructure
- Strong expertise in Azure Cloud ecosystem.
- Experience working with cloud-native AI/ML services in Azure.
- Knowledge of containerization and orchestration (Docker/Kubernetes is a plus).
Good To 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.
Soft Skills
- 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.
(ref:hirist.tech)
