Data Scientist (Computer Vision)
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
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Design, develop, and optimize AI/ML solutions for computer vision applications.
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Build and fine-tune deep learning models for image classification, object detection, and image segmentation.
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Process, clean, annotate, and manage large-scale image and video datasets.
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Develop data preprocessing and post-processing pipelines.
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Train, evaluate, and validate machine learning and deep learning models.
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Monitor model performance using relevant evaluation metrics and conduct error analysis.
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Perform experimentation, benchmarking, and model comparison activities.
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Deploy and scale AI models in production environments using cloud and MLOps practices.
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Collaborate with engineering, product, and business teams to integrate AI solutions.
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Follow software development best practices including version control, testing, documentation, and reproducibility.
Required Skills
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Strong proficiency in Python .
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Hands-on experience with Computer Vision and Deep Learning .
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Expertise in PyTorch , TensorFlow , or Keras .
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Experience with OpenCV and image processing techniques.
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Strong knowledge of image classification, object detection, image segmentation, transfer learning, and model fine-tuning.
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Experience with ML model evaluation and performance optimization.
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Knowledge of Git and software development best practices.
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Understanding of MLOps concepts and production deployment.
Good-to-Have Skills
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Experience with Vision-Language Models (VLMs) and Multimodal AI.
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Exposure to Large Language Models (LLMs) and NLP concepts.
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Experience with MLflow, Kubeflow, Docker, and Kubernetes.
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Cloud platform exposure (AWS, Azure, or GCP).
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Experience in healthcare, medical imaging, or similar domain-specific AI applications.
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Research publications or contributions to open-source AI projects.
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Knowledge of Responsible AI and AI ethics.
Soft Skills
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Strong analytical and problem-solving abilities.
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Effective communication and presentation skills.
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Cross-functional collaboration and stakeholder management.
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Research-oriented mindset with attention to detail.
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Ability to work in a fast-paced, dynamic environment.
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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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