Job Title: Data Scientist - AI / Computer Vision

Experience Range: 3-8 Years
Location: Bengaluru

We are seeking a Data Scientist with expertise in Computer Vision and AI to design, develop, fine-tune, and deploy machine learning and deep learning solutions. The role involves building scalable AI models, working with large image/video datasets, and collaborating with cross-functional teams to deliver business-focused AI applications. The ideal candidate should have strong experience in computer vision, deep learning frameworks, and MLOps practices.

Key Responsibilities

• Design, develop, and optimize AI/ML solutions for computer vision applications.

• Build and fine-tune deep learning models for image classification, object detection, and image segmentation.

• Process, clean, annotate, and manage large-scale image and video datasets.

• Develop data preprocessing and post-processing pipelines.

• Train, evaluate, and validate machine learning and deep learning models.

• Monitor model performance using relevant evaluation metrics and conduct error analysis.

• Perform experimentation, benchmarking, and model comparison activities.

• Deploy and scale AI models in production environments using cloud and MLOps practices.

• Collaborate with engineering, product, and business teams to integrate AI solutions.

• Follow software development best practices including version control, testing, documentation, and reproducibility.

Required Skills

• Strong proficiency in Python

• Hands-on experience with Computer Vision and Deep Learning

• Expertise in PyTorch, TensorFlow, or Keras

• Experience with OpenCV and image processing techniques.

• Strong knowledge of image classification, object detection, image segmentation, transfer learning, and model fine-tuning.

• Experience with ML model evaluation and performance optimization.

• Knowledge of Git and software development best practices.

• Understanding of MLOps concepts and production deployment.

Good-to-Have Skills

• Experience with Vision-Language Models (VLMs) and Multimodal AI.

• Exposure to Large Language Models (LLMs) and NLP concepts.

• Experience with MLflow, Kubeflow, Docker, and Kubernetes.

• Cloud platform exposure (AWS, Azure, or GCP).

• Experience in healthcare, medical imaging, or similar domain-specific AI applications.

• Research publications or contributions to open-source AI projects.

• Knowledge of Responsible AI and AI ethics.

Soft Skills

• Strong analytical and problem-solving abilities.

• Effective communication and presentation skills.

• Cross-functional collaboration and stakeholder management.

• Research-oriented mindset with attention to detail.

• Ability to work in a fast-paced, dynamic environment.

• Strong ownership and accountability.