Data Scientist (Computer Vision)

Fractal Analytics; Bengaluru; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Fractal Analytics in Bengaluru is seeking a Data Scientist specializing in AI/Computer Vision to design, develop, and deploy scalable ML solutions for image and video data. You will work with cross-functional teams to deliver business-focused AI applications, implement MVC or MLOps practices, and optimize models using state-of-the-art deep learning frameworks such as PyTorch or TensorFlow.

Strong Python, OpenCV, and data preprocessing skills are essential for success in this role.

Qualifications

• Proficient in Python and ML libraries.
• Strong background in computer vision, deep learning, and model fine-tuning.
• Experience with image/video datasets, preprocessing, and annotation workflows.
• Knowledge of model evaluation, performance optimization, and deployment.
• Familiarity with Git and software development best practices.

Responsibilities

• Design, develop, and optimize AI/ML solutions for CV tasks.
• Build and fine‑tune models for image classification, object detection, and segmentation.
• Process and manage large image/video datasets with quality annotations.
• Develop data preprocessing and post-processing pipelines.
• Train, evaluate, and deploy models in production.
• Monitor model performance and conduct error analysis.
• Experiment, benchmark, and compare models.
• Deploy AI models in production using cloud and MLOps practices.
• Collaborate with engineering, product, and business teams.
• Follow software development practices including version control, testing, and reproducibility.

Skills

Python

Computer Vision

Deep Learning

PyTorch

TensorFlow

Keras

OpenCV

Image processing

ML Ops

Git

Tools

PyTorch

TensorFlow

Keras

OpenCV

MLflow

Kubeflow

Docker

Kubernetes

Job description

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.

Job Title

Data Scientist - AI / Computer Vision

Experience Range

3-8 Years

Location

Bengaluru

Role Summary

We are seeking a Data Scientist withexpertisein 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, andMLOpspractices.

Key Responsibilities

• Design, develop, andoptimizeAI/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-scaleimageand video datasets.
• Develop data preprocessing and post-processing pipelines.
• Train, evaluate, andvalidate 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 andMLOpspractices.
• Collaborate with engineering, product, and business teams to integrate AI solutions.
• Follow softwaredevelopmentbest practices including version control, testing, documentation, and reproducibility.

Required Skills

• Strongproficiencyin Python.
• Hands-on experience with Computer Vision and Deep Learning.
• Expertisein 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 ofMLOpsconcepts and production deployment.

Good-to-Have Skills

• Experience with Vision-Language Models (VLMs) and Multimodal AI.
• Exposure toLarge Language Models (LLMs) and NLP concepts.
• Experience withMLflow, 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!