Data Scientist (Computer Vision)

Fractal Analytics; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Fractal Analytics in Bengaluru is seeking a Data Scientist specialized in AI and Computer Vision to design, develop, and deploy scalable ML solutions. You will work with large image/video datasets, build and fine-tune models, and collaborate across engineering, product, and business teams to deliver practical AI applications.

The ideal candidate has 3–8 years of experience with Python, CV, and DL frameworks, plus familiarity with MLOps practices and cloud deployment.

Qualifications

• Strong proficiency in Python and ML for CV tasks.
• Hands-on experience with Computer Vision and Deep Learning.
• Expertise in PyTorch, TensorFlow, or Keras.
• Experience with OpenCV and image processing techniques.
• Knowledge of image classification, object detection, and segmentation.
• Experience with ML model evaluation and performance optimization.
• Understanding of Git and software development best practices.
• Understanding of MLOps concepts and production deployment.

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.

Skills

Python

Computer Vision

Deep Learning

PyTorch

TensorFlow

Keras

OpenCV

Image processing

ML model evaluation

Git

MLOps concepts

Production deployment

Vision-Language Models

NLP concepts

MLflow

Kubeflow

Docker

Kubernetes

AWS

Azure

GCP

Cloud Platforms

Tools

MLflow

Kubeflow

Docker

Kubernetes

AWS

Azure

GCP

OpenCV

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 Description

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, andvalidatemachine 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!