4 Text Extraction Jobs

Required skills: Strong programming skills in Python. (Must have) Experience with machine learning frameworks such as TensorFlow, Py Torch, or Kera's. (Must have) Familiarity with document understanding tools such as OCR and text extraction techniques (Must have) Familiarity with computer vision libraries such as OpenCV and image processing techniques Familiarity with cloud computing platforms such as GCP is a plus. Exp in Neural Networks, Natural Language Processing concepts and Algorithms. Must have exp in text processing, intent classification, name entity recognition etc. Remuneration commensurate with experience (Minimum 2 years). Roles and responsibilities: Develop and refine prompt engineering techniques for NLP models. Develop and train LLM models for various applications. Develop and implement com puter vision algorithms for object recognition and image classification tasks. NLP, AI feature development for the No Code platform. Evaluate and Design NLP applications. Find and implement the right algorithms and tools for NLP tasks.

As an ML Developer with Open CV, your primary responsibility will be to research, develop, optimize, and productize artificial intelligence and machine learning applications. You should possess experience in developing machine learning, text extraction, and image processing solutions. Having a deep understanding of machine learning, text extraction, and image processing techniques is essential. Your role will involve developing machine learning algorithms, text extraction algorithms, and image processing algorithms while also working on optimizing existing algorithms. Proficiency in coding with Python, Tensorflow, CUDA toolkit, CuDNN, Theano, Caffe, Torch, OpenCV, or similar tools is required for this position. We expect you to take ownership of your professional development and demonstrate a quick thinking ability. A successful track record in high-performance product development is preferred. The ideal candidate will be innovative, dedicated, and results-oriented. To qualify for this role, you should have 2-7 years of experience in the field and hold a Bachelor's Degree in Engineering or Sciences. If you meet these qualifications and are ready to take on this challenging yet rewarding position, we encourage you to apply.,

We are seeking a highly skilled AI Engineer with a strong foundation in backend development and cloud technologies, particularly within the Microsoft ecosystem. The ideal candidate will have experience in AI/ML domains such as Natural Language Processing (NLP), Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, and be proficient in building scalable, production-ready systems using modern cloud platforms. Responsibilities : - Design and develop advanced backend components, data systems, pipelines, and microservices for AI-driven applications. - Engineer and implement production-ready, cloud-native infrastructures (or on-premise), from databases to serverless architectures. - Integrate and deploy AI models and services, including NLP, computer vision, and video processing solutions. - Utilize Azure AI Services, Cognitive Services, and other cloud-native AI tools to build intelligent applications. - Collaborate with cross-functional teams to deliver scalable and maintainable AI solutions. - Follow best practices in software engineering, including CI/CD, testing, and documentation. Requirements : - Proven experience as a senior software or data engineer, with a strong backend focus. - Advanced proficiency in Python, demonstrated through real-world projects. - Practical experience with backend technologies and frameworks. - Strong knowledge of CI/CD frameworks and DevOps practices. - Expertise in Microsoft Azure, including Azure AI Services and Cognitive Services. - Familiarity with AWS, AWS AI Services, and Google Cloud Platform (GCP) is a plus. - Experience with Docker and Kubernetes for containerization and orchestration. - AI/ML experience, especially in NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, is highly desirable. - Data engineering experience is a strong advantage.

Overview: We are seeking a highly skilled AI Engineer with a strong foundation in backend development and cloud technologies, particularly within the Microsoft ecosystem. The ideal candidate will have experience in AI/ML domains such as Natural Language Processing (NLP), Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, and be proficient in building scalable, production-ready systems using modern cloud platforms. Responsibilities: Design and develop advanced backend components, data systems, pipelines, and microservices for AI-driven applications. Engineer and implement production-ready, cloud-native infrastructures (or on-premise), from databases to serverless architectures. Integrate and deploy AI models and services, including NLP, computer vision, and video processing solutions. Utilize Azure AI Services, Cognitive Services, and other cloud-native AI tools to build intelligent applications. Collaborate with cross-functional teams to deliver scalable and maintainable AI solutions. Follow best practices in software engineering, including CI/CD, testing, and documentation. Requirements: Proven experience as a senior software or data engineer, with a strong backend focus. Advanced proficiency in Python, demonstrated through real-world projects. Practical experience with backend technologies and frameworks. Strong knowledge of CI/CD frameworks and DevOps practices. Expertise in Microsoft Azure, including Azure AI Services and Cognitive Services. Familiarity with AWS, AWS AI Services, and Google Cloud Platform (GCP) is a plus. Experience with Docker and Kubernetes for containerization and orchestration. AI/ML experience, especially in NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, is highly desirable. Data engineering experience is a strong advantage. Note: an AI Engineer with strong expertise in Natural Language Processing (NLP) and Computer Vision. Additionally, they should have in-depth knowledge of the Azure cloud platform and its full suite of services.