29 Textract Jobs - Page 2

We are seeking a highly skilled and motivated MEAN Stack Developer to join our International IT client's team. Key Responsibilities: Design, implement, and manage CI/CD pipelines using GitLab, Jenkins, and Bitbucket. Administer Linux servers, including networking configurations, DNS, and system troubleshooting. Maintain artifact repositories and Artifactory systems. Utilize a wide range of AWS services: EC2, S3, ECS, RDS (Postgres), Lambda (Python runtime), DynamoDB, Comprehend, Textract, and SageMaker for ML deployments. Optimize AWS resource usage for performance and cost-efficiency. Develop infrastructure using Terraform and manage Infrastructure as Code (IaC) workflows. Deploy and manage Kubernetes clusters, including EKS, and work with microservices architecture, load balancers, and database replication (Postgres, MongoDB). Hands-on experience with Redis clusters, Elasticsearch, and Amazon OpenSearch. Integrate monitoring tools such as CloudWatch, Grafana, and implement alerting solutions. Support DevOps scripting using tools like AWS CLI, Python, PowerShell, and optionally FileMaker. Implement and maintain automated troubleshooting, system health checks, and ensure maximum uptime. Collaborate with development teams to interpret test data and meet quality goals. Create system architecture diagrams and provide scalable, cost-effective solutions to clients. Implement best practices for network security, data encryption, and overall cybersecurity. Stay current with industry trends and introduce modern DevOps tools and practices. Ability to handle client interviews with strong communication. Key Skills & Requirements: 3–4 years of experience in DevOps roles. Strong knowledge of CI/CD tools (Jenkins, GitLab CI/CD, Bitbucket). Proficiency with AWS cloud infrastructure, including serverless technologies. Experience with Docker, Kubernetes, and IaC tools like Terraform. Expertise in Linux systems, networking, and scripting (Python, Shell, PowerShell). Experience working with Postgres, MongoDB, and DynamoDB. Knowledge of Redis, Elasticsearch, and monitoring tools (CloudWatch, Grafana). Understanding of microservices architecture, performance optimization, and security. Preferred Qualifications: Hands-on experience with GCP and services like BigQuery, Composer, Airflow, and Pub/Sub is a plus point. Design and Experience deploying applications on Vercel. Knowledge of AWS ML and NLP services (Comprehend, Textract, SageMaker). Familiarity with streaming data platforms and real-time pipelines. AWS Certification or AWS Solutions Architect, Kubernetes certification is a strong plus. Strong leadership and cross-functional collaboration skills. Job Types: Full-time, Permanent Pay: ₹540,000.00 - ₹660,000.00 per year Benefits: Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Would you please share your Current CTC, Expected CTC and Notice Period? Experience: DevOps: 3 years (Required) Work Location: In person Speak with the employer +91 9727330030

Job Title: Prompt Engineer Location: Remote Mode: Full-Time Employment (FTE) Experience Required: 5 to 10 Years Notice Period: Immediate Joiners Preferred Job Description We are looking for experienced Prompt Engineers to join our team and push the boundaries of what Large Language Models (LLMs) can do. You will play a crucial role in designing, developing, and optimizing prompts to enhance the performance of LLMs across a wide range of common and complex tasks. This includes building intelligent systems capable of extracting structured data from various scanned documents. Key Responsibilities: Develop and optimize prompts to improve LLM performance on both generic and domain-specific tasks. Work on solutions that enable LLMs to extract data from scanned and unstructured documents. Collaborate with cross-functional teams including data scientists, ML engineers, and product teams to deliver robust and scalable solutions. Continuously test and iterate prompts for optimal performance. Apply prompt tuning techniques to improve accuracy and reliability in downstream applications. Required Skills & Experience: 5–10 years of experience in a technical role involving AI/ML, NLP, or software development. Strong hands-on experience with prompt engineering and working with LLMs (such as GPT, Claude, Gemini, etc.). Proficiency in Python and experience with frameworks like LangChain, OpenAI APIs, or similar. Familiarity with AWS Lambda or similar serverless computing platforms. Solid understanding of NLP tasks such as entity recognition, summarization, classification, and data extraction. Experience with scanned document processing (OCR tools like Tesseract, Azure Form Recognizer, Amazon Textract, etc.) is a strong plus. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. If you're passionate about the intersection of AI, NLP, and real-world problem solving—this role is for you. Apply now or send your CV to jobs@weareanomaly.in Show more Show less

Key Responsibilities Apply expertise in Data Science, Generative AI, and Machine Learning to design and develop solutions. Work with AWS Cloud services to build, deploy, and manage AI/ML applications and infrastructure components. Develop and integrate backend components using Java and Microservices architecture. Utilize Python for data analysis, model development, scripting, and other Data Science tasks related to AI/ML projects. Collaborate effectively with cross-functional teams using Good Communication Skills. Design and implement various components of AI/ML pipelines. Explore and implement new Generative AI models and techniques. Contribute to the full development lifecycle of AI-driven applications, from concept to deployment. Troubleshoot and optimize AI/ML models and their Skillset (Required Skills & Qualifications) : 5+ years of experience in relevant roles such as Data Science, Machine Learning Engineering, or Software Engineering with a focus on AI/ML. Expertise in Data Science, Generative AI, and Machine Learning concepts and practices. Experience with AWS Cloud services relevant to AI/ML workloads. Experience with Java and Microservices architecture. Proficiency in Python. Good Communication Skills (Plus Points) : Experience with specific Generative AI models (e.g., LLMs, specific frameworks). Experience with MLOps practices and tools. Experience with other AWS AI/ML services (e.g., SageMaker, Textract, Rekognition). Experience with other cloud platforms (Azure, GCP). Experience with database technologies. (ref:hirist.tech) Show more Show less

About You – Experience, Education, Skills, And Accomplishments Holding a Bachelor's in Engineering or a Master's degree (BE, ME, B.Tech, M.Tech, MCA, MS) with strong communication and reasoning abilities is required.Over 5 years of hands-on technical experience using AWS serverless resources, including but not limited to ECS, Lambda, RDS, API Gateway, S3, Cloudfront, and ALB. Over 8 years of experience independently developing modules in one or more of the following: Python, Web development, JavaScript/TypeScript, and Containers.Experience in design and development of web-based applications using NodeJS.Experience with modern JavaScript framework (Vue.js, Angular, React), UI Testing (Puppeteer, Playwright, Selenium).Experience working in a CI/CD setup with multiple environments, and with an ability to manage code and deployments towards incrementally faster releases. Experience with RDBMS and NoSQL databases, particularly MySQL or PostgreSQL. Additionally, It Would Be Advantageous If You Have Experience in Terraform or similar, and IAC in general.Familiarity with AWS Bedrock.Experience with OCR engines and solutions, e.g. AWS Textract, Google Cloud Vision.Interest in exploring and adopting Data Science methodologies, and AI/ML technologies to optimize project outcomes. What will you be doing in this role? Overall, you will play a pivotal role in driving the success of the development projects and achieving business objectives through innovative and efficient agile software development practices. Provide technical guidance to dev team so Proof of Concepts can be productionized. Drive and execute productionizing activities. Identify and pursue opportunities for reuse across team boundaries. Quickly and efficiently resolve complex technical issues by analysing information, evaluating options, and executing decisions.Participate in technical design discussions and groups for feature development.Understand the impact of architecture and hosting strategies on technical design and apply industry best practices in software development, including unit testing, object-oriented design, and code reviews.Work with team members to address findings from security, functionality, and performance tests.Conduct detailed code reviews for intricate solutions, offering enhancements where feasible.Prioritize security and performance in all implementations. About The Team Our team comprises driven professionals who are deeply committed to leveraging technology to make a tangible impact in our field of the patent services area. Joining us, you'll 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 persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.