Data Scientist (Computer Vision)

Fractal Analytics Inc.; India; On-site; INR 1,500,000 - 3,500,000; Full time

Job summary

Fractal Analytics Inc. is seeking a Data Scientist with expertise in AI, computer vision, and scalability to design, develop, and deploy ML solutions in production. You will work with large image/video datasets, build models, and collaborate with cross-functional teams to deliver impactful AI applications.

The ideal candidate will have strong Python skills and hands-on experience with PyTorch or TensorFlow, OpenCV, and robust ML model evaluation, with exposure to MLOps and cloud deployment.

Qualifications

• Strong proficiency in Python and hands-on Computer Vision experience.
• Extensive experience building deep learning models using PyTorch or TensorFlow.
• Experience with image datasets: classification, detection, segmentation.
• Familiarity with ML model evaluation and performance optimization.
• Experience with MLOps practices 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 evaluation metrics and conduct error analysis.
• 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

OpenCV

Image Classification

Object Detection

Image Segmentation

Transfer Learning

Model Fine-tuning

ML Model Evaluation

Git

MLOps

Tools

MLflow

Kubeflow

Docker

Kubernetes

AWS

Azure

GCP

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 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!

At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey.