19d 17h ago
Data Scientist
📡Remote In-Country
|Indiacomputer_visiondeep_learningmlopspython+2
Data Scientist
2 weeks ago
Remote In-Country
Full Time
India
Position:
Data Scientist
Company:
Weekday's Client
Location:
India
Employment type:
Full-time
Short Summary:
We are looking for a highly skilled Data Scientist with expertise in Vision Language Models (VLMs), Computer Vision, and Multimodal AI to join our AI team. You will work on designing, developing, and optimizing next-generation AI models that can understand and reason across multiple data modalities, including images, text, and video.
Responsibilities:
- Design, build, and optimize AI models using Vision Language Models (VLMs) and multimodal learning techniques.
- Develop computer vision pipelines for image classification, object detection, segmentation, visual reasoning, OCR, and image understanding.
- Build multimodal AI systems that effectively combine text, images, videos, and structured data to solve business challenges.
- Research, evaluate, and implement state-of-the-art deep learning models and emerging AI architectures.
- Prepare, clean, annotate, and validate large-scale datasets for machine learning and computer vision applications.
- Develop efficient data preprocessing, augmentation, and feature engineering pipelines to improve model quality.
- Fine-tune pre-trained vision and multimodal foundation models for domain-specific use cases.
- Conduct experiments, evaluate model performance using appropriate metrics, and continuously improve model accuracy and efficiency.
- Collaborate with engineering teams to deploy AI models into production and monitor their performance.
- Document experiments, methodologies, and best practices while staying updated with the latest advancements in AI research.
Requirement:
- Strong experience with Vision Language Models (VLMs) and multimodal AI architectures.
- Hands-on expertise in Computer Vision, including image processing and deep learning-based vision tasks.
- Solid understanding of Multimodal AI, integrating text, image, and video data for intelligent applications.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Experience working with transformer-based architectures and foundation models.
- Strong knowledge of machine learning algorithms, model evaluation, optimization, and experimentation.
- Familiarity with GPU-based training and distributed deep learning workflows.
- Good understanding of data structures, algorithms, and software engineering best practices.
Benefits:
- Opportunity to work on cutting-edge AI technologies.
- Collaborate with a talented team of professionals.
- Engage in research and development of innovative AI solutions.
Data Scientist
Company:
Weekday's Client
Location:
India
Employment type:
Full-time
Short Summary:
We are looking for a highly skilled Data Scientist with expertise in Vision Language Models (VLMs), Computer Vision, and Multimodal AI to join our AI team. You will work on designing, developing, and optimizing next-generation AI models that can understand and reason across multiple data modalities, including images, text, and video.
Responsibilities:
- Design, build, and optimize AI models using Vision Language Models (VLMs) and multimodal learning techniques.
- Develop computer vision pipelines for image classification, object detection, segmentation, visual reasoning, OCR, and image understanding.
- Build multimodal AI systems that effectively combine text, images, videos, and structured data to solve business challenges.
- Research, evaluate, and implement state-of-the-art deep learning models and emerging AI architectures.
- Prepare, clean, annotate, and validate large-scale datasets for machine learning and computer vision applications.
- Develop efficient data preprocessing, augmentation, and feature engineering pipelines to improve model quality.
- Fine-tune pre-trained vision and multimodal foundation models for domain-specific use cases.
- Conduct experiments, evaluate model performance using appropriate metrics, and continuously improve model accuracy and efficiency.
- Collaborate with engineering teams to deploy AI models into production and monitor their performance.
- Document experiments, methodologies, and best practices while staying updated with the latest advancements in AI research.
Requirement:
- Strong experience with Vision Language Models (VLMs) and multimodal AI architectures.
- Hands-on expertise in Computer Vision, including image processing and deep learning-based vision tasks.
- Solid understanding of Multimodal AI, integrating text, image, and video data for intelligent applications.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Experience working with transformer-based architectures and foundation models.
- Strong knowledge of machine learning algorithms, model evaluation, optimization, and experimentation.
- Familiarity with GPU-based training and distributed deep learning workflows.
- Good understanding of data structures, algorithms, and software engineering best practices.
Benefits:
- Opportunity to work on cutting-edge AI technologies.
- Collaborate with a talented team of professionals.
- Engage in research and development of innovative AI solutions.
Required Skills
computer_visiondeep_learningmlopspythonpytorchtensorflow
Required Languages
🇬🇧 English