Posted today · be early
Computer Vision - Data Scientist
Nextgen Invent Corporation
IndiaremotePosted today
N
Skill Required
Data-ScientistComputer-Vision-EngineerMachine-Learning-EngineerAI-EngineerDeep-Learning-EngineerComputer-Vision-ScientistComputer-Vision-ML-EngineerComputer-Vision-and-Machine-Learning-EngineerComputer-Vision-Software-EngineerComputer-Vision-SpecialistComputer-Vision-DeveloperAI-Data-ScientistComputer-Vision-ResearcherData-ScienceData ScientistComputer VisionMachine LearningDeep Learningrelated fieldCD pipelinesEngineeringTensorFlowKubernetesanalyticaldevelopingObservabilitydesigninganalyticsbuildingPyTorchPythonDockerdesignAzureCI/CDCloudSQLAWSGCPandFulltime
Key highlights
- Experience: 2+ Years
- Location: WFH/Remote
- Requirement: Ph.D. in CS, AI, ML or related field
- Work Timings: 1:30 PM IST – 10:30 PM IST
- Positions: Multiple
- Must be proficient in Python and SQL
Role overview
NextGen Invent is seeking a Computer Vision - Data Scientist to join its Data Science Practice. This role will focus on designing, developing, and deploying enterprise-scale Computer Vision solutions that solve complex business challenges using cutting-edge AI and Deep Learning technologies.
Responsibilities
- Design, develop, and deploy Computer Vision solutions for enterprise use cases.
- Build and optimize models for image classification, object detection, segmentation, OCR, tracking, and video analytics.
- Develop end-to-end AI pipelines covering data preparation, model training, evaluation, deployment, and monitoring.
- Apply state-of-the-art Deep Learning architectures, including CNNs, Vision Transformers (ViTs), and multimodal AI models.
- Deploy scalable Computer Vision applications across cloud and edge environments.
- Analyze large-scale image, video, and multimodal datasets to generate actionable insights.
- Benchmark, evaluate, and optimize model performance using industry-standard metrics.
- Maintain and enhance existing AI solutions to improve accuracy, efficiency, and scalability.
- Collaborate with engineering, product, and business teams to translate requirements into AI-driven solutions.
- Implement MLOps best practices for model lifecycle management, monitoring, and continuous improvement.
- Stay current with emerging research and advancements in Computer Vision and AI, driving innovation within the organization.
Requirements
- Ph.D. in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, Data Science, Applied Mathematics, or a related field
- Must have a Ph.D. in an analytical or technical field (e.g., Artificial Intelligence, Computer Vision, Machine Learning, Data Science, Applied Mathematics)
- Minimum 2+ years of hands-on experience building and deploying Computer Vision solutions in production environments.
- Strong understanding of Computer Vision, Deep Learning, Machine Learning, and Image Processing techniques.
- Experience with object detection, image classification, segmentation, OCR, pose estimation, and video analytics.
- Hands-on experience with PyTorch, TensorFlow, Keras, OpenCV, or similar frameworks.
- Strong knowledge of modern Computer Vision architectures such as YOLO, Faster R-CNN, Mask R-CNN, ResNet, EfficientNet, DETR, and Vision Transformers.
- Proficiency in Python and SQL is a must.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools.
- Experience with model evaluation, optimization, and deployment of scalable AI systems.
- Strong analytical, problem-solving, and communication skills.
- Ability to collaborate effectively with cross-functional teams and stakeholders.
Nice to have
- Experience with vision-language models and multimodal AI frameworks such as CLIP and BLIP.
- Experience deploying real-time or edge AI applications.
- Familiarity with annotation tools such as CVAT, Labelbox, or Supervisely.
- Domain experience in Healthcare, Manufacturing, Retail, Automotive,
- Experience working with US or European clients.
- Leadership or mentoring experience in AI/ML projects.
Benefits
- Job Location: WFH/Remote
Additional details
- Experience: 2+ Years
- No. of Positions: Multiple
- Work Timings: 1:30 PM IST – 10:30 PM IST
- This job description is not intended to cover or contain a comprehensive listing of all responsibilities, duties, or activities required for the role. Responsibilities may change, or new responsibilities may be assigned, at any time with or without notice.
- If you are a motivated professional with a passion for delivering impactful solutions, we'd love to hear from you. Apply today to be part of a dynamic and forward-thinking team at NextGen Invent.
- Originally posted on Himalayas