Data Scientist - Computer Vision and AI

Fractal Analytics Private Limited; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Fractal Analytics Private Limited in Bengaluru invites a Senior Data Scientist with strong Computer Vision and AI expertise to design, develop, fine-tune, and deploy scalable ML solutions. You'll work with large image/video datasets and collaborate across engineering, product, and business teams to deliver impactful AI applications.

The ideal candidate has deep learning experience (PyTorch/TensorFlow/Keras), proficiency in Python, and familiarity with MLOps, model evaluation, and production

Qualifications

• Role focuses on building scalable AI models for computer vision with deep learning frameworks and MLOps practices.
• Strong experience in computer vision, image/video data handling, and model deployment.
• Proficiency in Python and at least one major DL framework (PyTorch/TensorFlow/Keras).

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 segmentation.
• Process, annotate, and manage large-scale image and video datasets.
• Develop preprocessing/post-processing pipelines and evaluate model performance.
• Deploy and scale AI models in production using cloud and MLOps practices.

Skills

Python

Computer Vision

Deep Learning

PyTorch

TensorFlow

Keras

OpenCV

Image processing

Image classification

Object detection

Image segmentation

Transfer learning

Model fine-tuning

ML model evaluation

Performance optimization

Git

MLOps

Production deployment

Tools

MLflow

Kubeflow

Docker

Kubernetes

Job description

Job Title: Data Scientist - AI / Computer Vision

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.

Experience Range

3-8 Years

Location

Bengaluru

Role Summary

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.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Experience Level

Senior Level