Fractal
Website:
fractal.ai
Job details:
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!
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