5 Aws Textract Jobs

You should possess a BTech degree in computer science, engineering, or a related field of study, or have 12+ years of related work experience. Additionally, you should have at least 7 years of design and implementation experience with large-scale data-centric distributed applications. It is essential to have professional experience in architecting and operating cloud-based solutions, with a good understanding of core disciplines such as compute, networking, storage, security, and databases. A strong grasp of data engineering concepts like storage, governance, cataloging, data quality, and data modeling is required. Familiarity with various architecture patterns like data lake, data lake house, and data mesh is also important. You should have a good understanding of Data Warehousing concepts and hands-on experience with tools like Hive, Redshift, Snowflake, and Teradata. Experience in migrating or transforming legacy customer solutions to the cloud is highly valued. Moreover, experience working with services like AWS EMR, Glue, DMS, Kinesis, RDS, Redshift, Dynamo DB, Document DB, SNS, SQS, Lambda, EKS, and Data Zone is necessary. A thorough understanding of Big Data ecosystem technologies such as Hadoop, Spark, Hive, and HBase, along with other relevant tools and technologies, is expected. Knowledge in designing analytical solutions using AWS cognitive services like Textract, Comprehend, Rekognition, and Sagemaker is advantageous. You should also have experience with modern development workflows like git, continuous integration/continuous deployment pipelines, static code analysis tooling, and infrastructure-as-code. Proficiency in a programming or scripting language like Python, Java, or Scala is required. Possessing an AWS Professional/Specialty certification or relevant cloud expertise is a plus. In this role, you will be responsible for driving innovation within the Data Engineering domain by designing reusable and reliable accelerators, blueprints, and libraries. You should be capable of leading a technology team, fostering an innovative mindset, and enabling fast-paced deliveries. Adapting to new technologies, learning quickly, and managing high ambiguity are essential skills for this position. You will collaborate with business stakeholders, participate in various architectural, design, and status calls, and showcase good presentation skills when interacting with executives, IT Management, and developers. Furthermore, you will drive technology/software sales or pre-sales consulting discussions, ensure end-to-end ownership of tasks, and maintain high-quality software development with complete documentation and traceability. Fulfilling organizational responsibilities, sharing knowledge and experience with other teams/groups, conducting technical training sessions, and producing whitepapers, case studies, and blogs are also part of this role. The ideal candidate for this position should have 10 to 18 years of experience and be able to reference the job with the number 12895.,

We are searching for a talented Document Extraction and Inference Engineer who possesses expertise in traditional machine learning algorithms and rule-based NLP techniques. The ideal candidate will have a solid background in document processing, structured data extraction, and inference modeling using classical ML approaches. Your primary responsibility will involve designing, implementing, and optimizing document extraction pipelines for various applications with a focus on ensuring accuracy and efficiency. Key Responsibilities - Developing and implementing document parsing and structured data extraction techniques. - Utilizing OCR (Optical Character Recognition) and pattern-based NLP for text extraction. - Building Foundational Models (NOT LLM's) to address inference problems. - Optimizing rule-based and statistical models for document classification and entity recognition. - Designing feature engineering strategies to enhance inference accuracy. - Working with structured and semi-structured data (PDFs, scanned documents, XML, JSON). - Implementing knowledge-based inference models for decision-making applications. - Collaborating with data engineers to construct scalable document processing pipelines. - Conducting error analysis and enhancing extraction accuracy through iterative refinements. - Keeping abreast of advancements in traditional NLP and document processing techniques. Required Qualifications - Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. - 3+ years of experience in document extraction and inference modeling. - At least 5+ years of overall experience. - Strong proficiency in Python and ML libraries (Scikit-learn, NLTK, OpenCV, Tesseract). - Expertise in OCR technologies, regular expressions, and rule-based NLP. - Experience with SQL and database management for handling extracted data. - Knowledge of probabilistic models, optimization techniques, and statistical inference. - Familiarity with cloud-based document processing (AWS Textract, Azure Form Recognizer). - Strong analytical and problem-solving skills. Preferred Qualifications - Experience with graph-based document analysis and knowledge graphs. - Knowledge of time series analysis for document-based forecasting. - Exposure to reinforcement learning for adaptive document processing. - Understanding of the credit/loan processing domain. Location: Chennai, India.,

You should hold a Bachelor's in Engineering or a Master's degree (BE, ME, B.Tech, M.Tech, MCA, MS) with strong communication and reasoning abilities. You must have over 5 years of hands-on technical experience using AWS serverless resources like ECS, Lambda, RDS, API Gateway, S3, Cloudfront, and ALB. Additionally, you should possess over 8 years of experience independently developing modules in Python, Web development, JavaScript/TypeScript, and Containers. Experience in the design and development of web-based applications using NodeJS is necessary. Familiarity with modern JavaScript frameworks (Vue.js, Angular, React), UI Testing tools (Puppeteer, Playwright, Selenium), CI/CD setup, and managing code and deployments towards faster releases are required. Experience with RDBMS and NoSQL databases, particularly MySQL or PostgreSQL, is essential. It would be advantageous if you have experience in Terraform or similar tools, familiarity with AWS Bedrock, expertise with OCR engines and solutions like AWS Textract and Google Cloud Vision, and an interest in adopting Data Science methodologies and AI/ML technologies to optimize project outcomes. In this role, you will play a pivotal role in driving the success of development projects and achieving business objectives through innovative agile software development practices. You will provide technical guidance to the development team for productionizing Proof of Concepts, drive and execute productionizing activities, identify opportunities for reuse, and efficiently resolve complex technical issues. You will participate in technical design discussions, understand the impact of architecture and hosting strategies on design, apply best practices in software development, prioritize security and performance in all implementations, and conduct detailed code reviews for intricate solutions. The team you will be joining is composed of driven professionals committed to leveraging technology to make a tangible impact in the field of patent services. You will thrive in a multi-region, cross-cultural environment, collaborating on cutting-edge technologies with a strong emphasis on a user-centric approach. At Clarivate, we are committed to providing equal employment opportunities for all individuals with respect to hiring, compensation, promotion, training, and other terms of employment. We adhere to applicable laws and regulations governing non-discrimination in all locations.,

As an AI/ML Engineer at Neutrinos, you will play a crucial role in designing, developing, and deploying machine learning models to drive business outcomes. With 5 to 8 years of hands-on experience, you will utilize your expertise in Python, AutoML frameworks, image processing, and cloud-based AI services to create innovative solutions. Collaborating with cross-functional teams, you will focus on model development, integration, and optimization to deliver high-quality results aligned with business objectives. Your responsibilities will include designing, training, and deploying complex machine learning models for predictive analytics, object detection, and classification. Leveraging AI frameworks like Python, TensorFlow, and PyTorch, you will build and optimize machine learning pipelines. You will also work on implementing and customizing AutoML frameworks to automate model building and enhance efficiency. Utilizing cloud-based AI platforms such as Google Vision, Azure Document Vision, and AWS Textract, you will handle tasks like image recognition and document processing. In addition, you will develop and integrate AI models with REST APIs using NodeJS and Python to ensure efficient communication between systems and scalable deployment. Your role will involve implementing advanced object detection algorithms for various image-based applications and continuously optimizing model performance for accuracy, latency, and scalability in production environments. Utilizing Git for version control and CI/CD practices, you will ensure seamless updates and rollouts of AI solutions. Preferred skills for this role include familiarity with cloud infrastructure such as AWS, Azure, or Google Cloud, experience with Docker and Kubernetes for containerized AI solutions, and knowledge of Machine Learning Operations (MLOps) for automating ML lifecycle processes. A Bachelors or Masters degree in Computer Science, Machine Learning, AI, or a related field, along with 5 to 8 years of experience in AI/ML engineering, will be essential qualifications for this position. Join Neutrinos to be part of a dynamic team at the forefront of AI and machine learning innovation. You will have the opportunity to work on challenging projects with real-world impact, competitive salary and benefits, and experience a collaborative and growth-focused environment in Bangalore.,

Role & responsibilities Build Doctor Agentic AI, a real-time diagnostic and decision-support system. Patient-Doctor interaction- transcribe, understand, and summarize voice notes, answer patient inquiries, and recommend tests or treatments. Integrate text, images, lab reports, and structured EHR data into AI systems that see the full patient picture and medical insights. Live monitoring tools that detect anomalies in vitals, trigger adaptive questioning, and accelerate early interventions. Preferred candidate profile 3+ years of experience in AI/ML with a focus on multimodal data and agent-based systems. Deep understanding of transformer models and medical LLMs. Multimodal Health AI Stack like;: BioGPT, Med Palm, Meditron, ClinicalBERT, OCR (AWS Textract, Google Document AI, Google Vision) CoMT (Chain-of-Medical-Thought Reasoning) pipelines. RAG/MEDRAG pipelines multimodal analysis for structured and unstructured medical data. Proficient with LangChain, OpenAI Agents, Responses AI and tool calling APIs. Use vector databases for semantic search and memory retrieval. Experience generating or managing synthetic patient data for fine-tuning. Skilled in Python, Node.js, Connect models to backend infrastructure and ensure secure data pipelines. Familiar with AWS deployment and cost optimization.