Ds
fractal analytics
📍 bengaluru india🕐 29d ago🔗 workday
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!
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