190 Tesseract Jobs

Position: Sr. AI/ML Engineer (OCR Solutions) Exp: 5+ years Location: Remote Salary: up to 40 LPA ~ Notice Period should be max. 1 month Key Responsibilities: Build and improve OCR solutions capable of handling diverse languages, scripts, and complex layouts. Train, fine-tune, and deploy machine learning models for text recognition across multiple languages and character sets , including low-resource languages. Evaluate & Improve Accuracy: Implement model evaluation metrics to continuously improve the accuracy and performance of OCR systems. 5Scaling OCR Solutions: Design scalable OCR models that can efficiently handle large volumes of data in real-time applications. Focus on optimizing model performance for both cloud-based and edge environments. Collaboration: Work with cross-functional teams, including product managers, software engineers, and UX designers, to integrate OCR functionality into products. Deployment & Scalability: Ensure that the OCR models are scalable and optimized for deployment in production environments (cloud and edge devices). Implement and manage CI/CD pipelines for smooth deployment. Requirements: Experience in AI/ML engineering with at least 3 years of experience in building OCR solutions. Expertise: Strong knowledge of OCR technologies, including Tesseract, EasyOCR, PaddleOCR, or custom deep learning-based OCR systems Languages: Experience with multiple languages and character sets (e.g., Latin, Cyrillic, Chinese, Japanese, Arabic, Devanagari, etc.) Deep Learning: Proficiency with machine learning frameworks like TensorFlow, PyTorch, Keras, or MXNet NLP Skills: Experience in natural language processing (NLP) techniques for post-processing OCR outputs. Programming Languages: Strong programming skills in Python and familiarity with ML libraries (scikit-learn, OpenCV, etc.). Proven experience in scaling AI/ML models for production environments and containerizing applications using Docker for easier deployment and scalability. Cloud & DevOps: Experience deploying OCR models in cloud environments (AWS, GCP, or Azure) and working with CI/CD pipelines. Preferred Qualifications: Experience with low-resource or less common languages. Familiarity with handwriting recognition and scene text recognition. Knowledge of transformer-based models like Vision Transformers (ViTs) or hybrid approaches. Experience with Docker, Kubernetes, and container orchestration for AI/ML model deployment. Contributions to open-source OCR projects

Roles and Responsibilities Build and maintain scalable, fault-tolerant data pipelines to support GenAI and analytics workloads across OCR, documents, and case data. Manage ingestion and transformation of semi-structured legal documents (PDF, Word, Excel) into structured formats. Enable RAG workflows by processing data into chunked, vectorized formats with metadata. Handle large-scale ingestion from multiple sources into cloud-native data lakes (S3, GCS), data warehouses (BigQuery, Snowflake), and PostgreSQL. Automate pipelines using orchestration tools like Airflow/Prefect , including retry logic, alerting, and metadata tracking. Collaborate with ML Engineers to ensure data availability, traceability, and performance for inference and training pipelines. Implement data validation and testing frameworks using Great Expectations or dbt . Integrate OCR pipelines and post-processing outputs for embedding and document search. Design infrastructure for streaming vs batch data needs and optimize for cost, latency, and reliability. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, or equivalent. 3+ years of experience in building distributed data pipelines and managing multi-source ingestion. Proficiency with Python , SQL , and data tools like Pandas, PySpark. Experience working with data orchestration tools (Airflow, Prefect), and file formats like Parquet, Avro, JSON. Hands-on experience with cloud storage/data warehouse systems (S3, GCS, BigQuery, Redshift). Understanding of GenAI and vector database ingestion pipelines is a strong plus. Bonus: Experience with OCR tools (Tesseract, Google Document AI), PDF parsing libraries (PyMuPDF), and API-based document processors.

Project description We are looking out for team of AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance. The customer have identified a set of use cases they want to develop internally with an Hackatlon model, having a team of expert working closely with the business and developing prototype with their supervision. Responsibilities Define, design, and implement scalable, robust, and secure Java-based applications (Microservices) architectures. Provide technical leadership, mentorship, and direction to development teams in implementing the architecture and following best practices. Oversee the development of Java applications, frameworks, and microservices, ensuring high-quality code and adherence to project timelines. Lead efforts to improve application performance, scalability, and security through efficient architecture and code design. Evaluate and recommend appropriate frameworks, libraries, and tools to enhance the application architecture and development process. Work closely with product managers, business analysts, and other stakeholders to align technical solutions with business needs. Enforce coding standards and best practices through code reviews and the establishment of development guidelines. Ensure that applications meet security standards and comply with industry regulations. Keep up with the latest industry trends, technologies, and frameworks to drive continuous architectural improvement. Skills Must have Minimum of 6 to 9 years of experience to implement the solution Skills required: Building AI Agents Large Language Models prompt engineering and fine tuning Retrieval Augmented Generation Guardrails AI Orchestration and interfaces with existing applications Main technologies: Langchain Edio Gradio Python Streamlit Nice to have Tesseract OCR (nice to have) Other Languages English: C2 Proficient Seniority Senior Gurugram, India Req. VR-117521 Python BCM Industry 13/09/2025 Req. VR-117521

Project description We are looking out for team of AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance. The customer have identified a set of use cases they want to develop internally with an Hackatlon model, having a team of expert working closely with the business and developing prototype with their supervision. Responsibilities Define, design, and implement scalable, robust, and secure Java-based applications (Microservices) architectures. Provide technical leadership, mentorship, and direction to development teams in implementing the architecture and following best practices. Oversee the development of Java applications, frameworks, and microservices, ensuring high-quality code and adherence to project timelines. Lead efforts to improve application performance, scalability, and security through efficient architecture and code design. Evaluate and recommend appropriate frameworks, libraries, and tools to enhance the application architecture and development process. Work closely with product managers, business analysts, and other stakeholders to align technical solutions with business needs. Enforce coding standards and best practices through code reviews and the establishment of development guidelines. Ensure that applications meet security standards and comply with industry regulations. Keep up with the latest industry trends, technologies, and frameworks to drive continuous architectural improvement. Skills Must have Minimum of 9 years of experience, able to interact with business, understand the problem, and guide the rest of the team. Skills required: Building AI Agents Large Language Models prompt engineering and fine-tuning Retrieval Augmented Generation Guardrails AI Orchestration and interfaces with existing applications Main technologies: Langchain Edio Gradio Python Streamlit Nice to have Tesseract OCR (nice to have) Other Languages English: C2 Proficient Seniority Lead Gurugram, India Req. VR-117518 Python BCM Industry 13/09/2025 Req. VR-117518

Project description We are looking out for team of AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance. The customer have identified a set of use cases they want to develop internally with an Hackatlon model, having a team of expert working closely with the business and developing prototype with their supervision. Responsibilities Define, design, and implement scalable, robust, and secure Java-based applications (Microservices) architectures. Provide technical leadership, mentorship, and direction to development teams in implementing the architecture and following best practices. Oversee the development of Java applications, frameworks, and microservices, ensuring high-quality code and adherence to project timelines. Lead efforts to improve application performance, scalability, and security through efficient architecture and code design. Evaluate and recommend appropriate frameworks, libraries, and tools to enhance the application architecture and development process. Work closely with product managers, business analysts, and other stakeholders to align technical solutions with business needs. Enforce coding standards and best practices through code reviews and the establishment of development guidelines. Ensure that applications meet security standards and comply with industry regulations. Keep up with the latest industry trends, technologies, and frameworks to drive continuous architectural improvement. Skills Must have Minimum of 6 to 9 years of experience to implement the solution Skills required: Building AI Agents Large Language Models prompt engineering and fine tuning Retrieval Augmented Generation Guardrails AI Orchestration and interfaces with existing applications Main technologies: Langchain Edio Gradio Python Streamlit Nice to have Tesseract OCR (nice to have) Other Languages English: C2 Proficient Seniority Senior Hyderabad, IN, India Req. VR-117521 Python BCM Industry 13/09/2025 Req. VR-117521

Project description We are looking out for team of AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance. The customer have identified a set of use cases they want to develop internally with an Hackatlon model, having a team of expert working closely with the business and developing prototype with their supervision. Responsibilities Define, design, and implement scalable, robust, and secure Java-based applications (Microservices) architectures. Provide technical leadership, mentorship, and direction to development teams in implementing the architecture and following best practices. Oversee the development of Java applications, frameworks, and microservices, ensuring high-quality code and adherence to project timelines. Lead efforts to improve application performance, scalability, and security through efficient architecture and code design. Evaluate and recommend appropriate frameworks, libraries, and tools to enhance the application architecture and development process. Work closely with product managers, business analysts, and other stakeholders to align technical solutions with business needs. Enforce coding standards and best practices through code reviews and the establishment of development guidelines. Ensure that applications meet security standards and comply with industry regulations. Keep up with the latest industry trends, technologies, and frameworks to drive continuous architectural improvement. Skills Must have Minimum of 9 years of experience, able to interact with business, understand the problem, and guide the rest of the team. Skills required: Building AI Agents Large Language Models prompt engineering and fine-tuning Retrieval Augmented Generation Guardrails AI Orchestration and interfaces with existing applications Main technologies: Langchain Edio Gradio Python Streamlit Nice to have Tesseract OCR (nice to have) Other Languages English: C2 Proficient Seniority Lead Hyderabad, IN, India Req. VR-117518 Python BCM Industry 13/09/2025 Req. VR-117518

Project description We are looking out for team of AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance. The customer have identified a set of use cases they want to develop internally with an Hackatlon model, having a team of expert working closely with the business and developing prototype with their supervision. Responsibilities Define, design, and implement scalable, robust, and secure Java-based applications (Microservices) architectures. Provide technical leadership, mentorship, and direction to development teams in implementing the architecture and following best practices. Oversee the development of Java applications, frameworks, and microservices, ensuring high-quality code and adherence to project timelines. Lead efforts to improve application performance, scalability, and security through efficient architecture and code design. Evaluate and recommend appropriate frameworks, libraries, and tools to enhance the application architecture and development process. Work closely with product managers, business analysts, and other stakeholders to align technical solutions with business needs. Enforce coding standards and best practices through code reviews and the establishment of development guidelines. Ensure that applications meet security standards and comply with industry regulations. Keep up with the latest industry trends, technologies, and frameworks to drive continuous architectural improvement. Skills Must have Minimum of 6 to 9 years of experience to implement the solution Skills required: Building AI Agents Large Language Models prompt engineering and fine tuning Retrieval Augmented Generation Guardrails AI Orchestration and interfaces with existing applications Main technologies: Langchain Edio Gradio Python Streamlit Nice to have Tesseract OCR (nice to have) Other Languages English: C2 Proficient Seniority Senior Chennai, India Req. VR-117521 Python BCM Industry 12/09/2025 Req. VR-117521

Project description We are looking out for team of AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance. The customer have identified a set of use cases they want to develop internally with an Hackatlon model, having a team of expert working closely with the business and developing prototype with their supervision. Responsibilities Define, design, and implement scalable, robust, and secure Java-based applications (Microservices) architectures. Provide technical leadership, mentorship, and direction to development teams in implementing the architecture and following best practices. Oversee the development of Java applications, frameworks, and microservices, ensuring high-quality code and adherence to project timelines. Lead efforts to improve application performance, scalability, and security through efficient architecture and code design. Evaluate and recommend appropriate frameworks, libraries, and tools to enhance the application architecture and development process. Work closely with product managers, business analysts, and other stakeholders to align technical solutions with business needs. Enforce coding standards and best practices through code reviews and the establishment of development guidelines. Ensure that applications meet security standards and comply with industry regulations. Keep up with the latest industry trends, technologies, and frameworks to drive continuous architectural improvement. Skills Must have Minimum of 9 years of experience, able to interact with business, understand the problem, and guide the rest of the team. Skills required: Building AI Agents Large Language Models prompt engineering and fine-tuning Retrieval Augmented Generation Guardrails AI Orchestration and interfaces with existing applications Main technologies: Langchain Edio Gradio Python Streamlit Nice to have Tesseract OCR (nice to have) Other Languages English: C2 Proficient Seniority Lead Chennai, India Req. VR-117518 Python BCM Industry 12/09/2025 Req. VR-117518

Project description We are looking out for team of AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance. The customer have identified a set of use cases they want to develop internally with an Hackatlon model, having a team of expert working closely with the business and developing prototype with their supervision. Responsibilities Define, design, and implement scalable, robust, and secure Java-based applications (Microservices) architectures. Provide technical leadership, mentorship, and direction to development teams in implementing the architecture and following best practices. Oversee the development of Java applications, frameworks, and microservices, ensuring high-quality code and adherence to project timelines. Lead efforts to improve application performance, scalability, and security through efficient architecture and code design. Evaluate and recommend appropriate frameworks, libraries, and tools to enhance the application architecture and development process. Work closely with product managers, business analysts, and other stakeholders to align technical solutions with business needs. Enforce coding standards and best practices through code reviews and the establishment of development guidelines. Ensure that applications meet security standards and comply with industry regulations. Keep up with the latest industry trends, technologies, and frameworks to drive continuous architectural improvement. Skills Must have Minimum of 6 to 9 years of experience to implement the solution Skills required: Building AI Agents Large Language Models prompt engineering and fine tuning Retrieval Augmented Generation Guardrails AI Orchestration and interfaces with existing applications Main technologies: Langchain Edio Gradio Python Streamlit Nice to have Tesseract OCR (nice to have) Other Languages English: C2 Proficient Seniority Senior Noida, India Req. VR-117521 Python BCM Industry 12/09/2025 Req. VR-117521

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description: Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description: We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications: • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills.

Position: Machine Learning Engineer Team Size: 6–8 Members Location: Trivandrum Experience Level: 3+ Years Role Overview We are seeking a highly skilled Machine Learning Engineer with expertise in NLP, OCR, and clinical data processing to join our AI/ML team. The ideal candidate will develop and deploy ML models for healthcare applications, focusing on clinical source data extraction, terminology recognition, and automated discrepancy detection. This role offers the opportunity to work on cutting-edge solutions in clinical data management while ensuring compliance with regulatory standards. Key Responsibilities Model Development: Design, train, and deploy ML models for OCR, NLP, and structured data extraction from clinical source documents (PDFs, scanned forms, EHR exports). Terminology Recognition: Implement medical terminology mapping and entity recognition (SNOMED CT, MedDRA, LOINC). Automation: Develop algorithms for discrepancy detection between source data and EDC. Query Generation: Build context-aware query generation modules to support clinical data management workflows. Collaboration: Work closely with data engineers and backend developers to integrate ML pipelines into production systems. Compliance: Ensure all ML solutions follow HIPAA/GDPR guidelines and privacy-preserving ML practices. Qualifications Master’s/PhD in Computer Science, Data Science, or a related field. 3+ years of hands-on experience in ML/NLP, preferably in healthcare or clinical data . Strong expertise in LLMs, prompt engineering, and hyperparameter tuning. Proficiency in PyTorch/TensorFlow, Hugging Face Transformers, and OCR libraries (e.g., Tesseract, Amazon Textract). Experience with AWS Bedrock, SageMaker (AgentCore is a strong plus). Knowledge of HIPAA/GDPR compliance and privacy-preserving ML approaches. Job Type: Permanent Work Location: In person

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile Strong proficiency in Python and frameworks like TensorFlow or PyTorch. 2+ years of experience in GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description: Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description: We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications: • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills.

Role: Senior Data Scientist- Agentic AI Experience: 5+ years in applied data science, with financial domain AI Mandatory Skills: Python, NLP, Pytorch, Tensorflow, Financial domain Location: Hyderabad Role Overview We are hiring a Senior Data Scientist to develop and deploy advanced AI/ML models powering mortgage automation agents . This role involves designing models for creditworthiness prediction, fraud detection, income verification, document intelligence, and conversational agents . The candidate will ensure models are accurate, explainable, and compliant with regulatory frameworks. Required Skills & Experience Strong experience with Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers . NLP expertise: NER, summarization, Q&A, OCR (Tesseract, Amazon Textract, Azure Form Recognizer) . Deep understanding of statistical modeling, risk scoring, credit analytics, fraud detection . Experience with vector databases (Pinecone, Weaviate, FAISS, Milvus). Knowledge of MLOps tools (MLflow, Kubeflow, Weights & Biases). Familiarity with mortgage underwriting, risk modeling, KYC/AML checks . Strong foundation in responsible AI practices (fairness, accountability, transparency)

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description: Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description: We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications: • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills.

#Hiring #Telecom Domain #Python #Seleniuma #SDET #Automation Test Engineer #network protocols #TCP/IP #SNMP #SIP #telecom systems #OSS/BSS #network configuration tools #OCR #OCR #EasyOCR, #OpenCV We have urgent opening for QA Engineer- Python/Selenium at Chennai Location Job Title: QA Engineer- Python/Selenium Location: Chennai Working Days: 6 Day s Experience: 3+ Years Core Skills - Automation Tools : Strong hands-on experience with Selenium for web automation and Python-based libraries like Pywinauto, Autolt, or PyAutoGUI for desktop automation. - API Testing: Proficient in REST API automation using tools like Requests, Postman, or Pytest with API plugins. - Programming: Solid command of Python, including OOP principles, exception handling, and test frameworks like unittest or pytest. Domain Expertise -Experience in Networking or Telecom environments: -Familiarity with network protocols (e.g., TCP/IP, SNMP, SIP) - Exposure to telecom systems, OSS/BSS, or network configuration tools Nice to Have - Knowledge of OCR concepts and tools like: - Tesseract OCR, EasyOCR, or OpenCV - Use cases like extracting data from screenshots or scanned documents Sourcing Tips - Look for candidates with titles like: - Automation Test Engineer - Python - QA Engineer - Telecom Automation - SDET - Python/Seleniuma

The ideal candidate should have a minimum of 5 years of experience in data engineering, machine learning, or automation roles. You should possess strong programming skills in Python and have experience working with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Hands-on experience with OCR technologies like Tesseract, Azure OCR, Google Vision, or AWS Textract is required for this role. In addition, proficiency in using Power Automate for workflow automation and Selenium with Python for web automation and testing is preferred. Excellent verbal and written communication skills are essential for effective collaboration within the team. A degree in computer science, Engineering, or a related field is desired. The job is located in Hyderabad and requires a minimum of 5 years of experience. The salary offered is competitive and the work schedule is 5 days a week.,

About Our Company: Aerocraft Engineering India Pvt Ltd based in Ahmedabad, provides services to US-based Architecture, Engineering, and Construction groups of companies: Russell and Dawson – An Architecture/Engineering/Construction firm (www.rdaep.com) United-BIM – BIM Modeling Services Firm (www.united-bim.com) AORBIS – Procurement as a Service Provider (www.aorbis.com) We are a nimble and growing organization where everyone’s role is very important for the company’s business success. All team members’ contributions have a direct correlation with the company’s performance in meeting its business and financial objectives. We're looking for an AI/ML Engineer to join our innovative team working at the intersection of computer vision, machine learning, and language models. If you’re passionate about building intelligent systems that extract insights from documents and unstructured data, we want to hear from you. Job Location: Ahmedabad (Siddhivinayak Towers, Makarba) Shift Timings: 11pm to 8pm/ 1pm to 10pm (Shift may change as per business requirement) Monday to Friday Work from office 🎯 Key Responsibilities Build computer vision models for document layout analysis, object detection, and OCR enhancement. Automate data extraction from complex PDF documents (invoices, contracts, forms). Work with LLMs (e.g., GPT, LLaMA) for summarization, Q&A, and document intelligence tasks. Integrate AI pipelines with tools like Tesseract, Azure Form Recognizer, PDFMiner, PaddleOCR, etc. Deploy and manage ML solutions using Azure cloud services. Collaborate using GitHub (version control), Jira (Agile task tracking), and CI/CD workflows. ✅ Requirements 2–5 years of hands-on experience in AI/ML, preferably in document intelligence or vision-based systems. Strong Python skills with frameworks like TensorFlow, PyTorch, OpenCV. Proven experience in OCR, NLP, and automating document workflows. Experience with LLMs and prompt engineering or fine-tuning. Comfortable with DevOps tools: Azure, GitHub, Docker, Kubernetes and Jira. Benefits: Exposure to US Projects/Design/Standards Company provides Dinner/Snacks/Tea/Coffee Reimbursable Health Insurance 15 paid leave annually + 8-10 Public Holidays

About the role The role of a Machine Learning (ML) Engineer is centered around the application of machine learning algorithms and statistical models to solve real-world problems. ML engineers build and deploy models that allow systems to improve automatically through experience and data, often contributing to the development of AI (Artificial Intelligence) products. What you’ll do Design, Build, and Optimize Machine Learning Models. Develop predictive or classification models. Optimize models for scalability and performance. Deploy models into production. Collaborate with the sales team to understand client needs. Present technical solutions,demonstrate how they meet client objectives. Participate in client meetings and contribute to proposal development. Work with various departments, including Engineering and sales. Communicate complex concepts to technical stakeholders. Monitor and maintain live models. Stay current with industry trends, tools, and technologies. Participate in professional development opportunities. What you’ll need Bachelor’s or Master’s degree in Computer Science, Data Machine Learning, or a related field. 3-4 years of hands-on experience in machine learning, NLP, OCR, and production environments. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Keras. Strong experience in API development (FastAPI, Flask, or Django) Knowledge of queuing systems like RabbitMQ, Redis, or Celery for handling a synchronous tasks. Expertise in NLP techniques and OCR tools (Tesseract, OpenCV). Experience with NLP libraries (SpaCy, NLTK) and OCR frameworks. Familiarity with cloud platforms (AWS, Google Cloud) and MLOps practices for streamlined model deployment. Location : Noida Experience : 4-6 Years

We are looking for an experienced Python Developer with expertise in web scraping and OCR to design and optimize data extraction solutions. The role involves building scalable scripts, integrating OCR workflows, and ensuring clean, structured data for downstream use. Key Responsibilities: Develop and maintain Python scripts for web scraping from structured and unstructured sources. Implement OCR solutions to extract text/data from scanned images, PDFs, and other documents. Optimize data extraction workflows for performance and accuracy. Collaborate with teams to integrate scraped/OCR data into applications or databases. Key Skills: Strong proficiency in Python Hands-on experience with web scraping frameworks (BeautifulSoup, Scrapy, Selenium, etc.) Knowledge of OCR tools/libraries (Tesseract, OpenCV, PyMuPDF, etc.) Good understanding of APIs, data cleaning, and storage mechanisms Familiarity with databases (SQL/NoSQL)

Project description We are looking for a skilled Document AI / NLP Engineer to develop intelligent systems that extract meaningful data from documents such as PDFs, scanned images, and forms. In this role, you will build document processing pipelines using OCR and NLP technologies, fine-tune ML models for tasks like entity extraction and classification, and integrate those solutions into scalable cloud-based applications. You will collaborate with cross-functional teams to deliver high-performance, production-ready pipelines and stay up to date with advancements in the document understanding and machine learning space. Responsibilities Design, build, and optimize document parsing pipelines using tools like Amazon Textract, Azure Form Recognizer, or Google Document AI. Perform data preprocessing, labeling, and annotation for training machine learning and NLP models. Fine-tune or train models for tasks such as Named Entity Recognition (NER), text classification, and layout understanding using PyTorch, TensorFlow, or HuggingFace Transformers. Integrate document intelligence capabilities into larger workflows and applications using REST APIs, microservices, and cloud components (e.g., AWS Lambda, S3, SageMaker). Evaluate model and OCR accuracy, applying post-processing techniques or heuristics to improve precision and recall. Collaborate with data engineers, DevOps, and product teams to ensure solutions are robust, scalable, and meet business KPIs. Monitor, debug, and continuously enhance deployed document AI solutions. Maintain up-to-date knowledge of industry trends in OCR, Document AI, NLP, and machine learning. Skills Must have 4-5 years of hands-on experience in machine learning, document AI, or NLP-focused roles. Strong expertise in OCR tools and frameworks, especially Amazon Textract, Azure Form Recognizer, Google Document AI, or open-source tools like Tesseract, LayoutLM, or PaddleOCR. Solid programming skills in Python and familiarity with ML/NLP librariesscikit-learn, spaCy, transformers, PyTorch, TensorFlow, etc. Experience working with structured and unstructured data formats, including PDF, images, JSON, and XML. Hands-on experience with REST APIs, microservices, and integrating ML models into production pipelines. Working knowledge of cloud platforms, especially AWS (S3, Lambda, SageMaker) or their equivalents. Understanding of NLP techniques such as NER, text classification, and language modeling. Strong debugging, problem-solving, and analytical skills. Clear verbal and written communication skills for technical and cross-functional collaboration. Nice to have N/A

Job Title: RPA Developer Location: Remote ( India ) Experience: 8 years Please share your Updated resume to akhil.v@Candid8.us / akhilcandid8@gmail.com Required Skills & Qualifications: Technical Skills: Hands-on experience in UiPath / Automation Anywhere / Blue Prism (at least one is mandatory). Strong proficiency in C#, .NET, Python, or Java for RPA scripting. Experience with SQL / NoSQL databases for data manipulation. Knowledge of REST / SOAP APIs integration. Familiarity with Orchestrators and RPA infrastructure management. Understanding of OCR tools like ABBYY, Tesseract, or Google Vision (optional but preferred). Strong problem-solving, analytical, and debugging skills. Good communication and collaboration abilities. Job Type: Contract Pay: ₹50,000.00 - ₹100,000.00 per month Experience: C#: 8 years (Required) .NET: 8 years (Required) RPA Developer: 8 years (Required)

About Position: We are hiring for Lead Python engineer with hands on experience with Apache Beam, databricks etc., Role: Lead Python Platform Engineer – Architecture & Performance Location: All PSL Locations Experience: 3 to 7 Years Job Type: Full Time Employment What You'll Do: Architecture and reuse: Design and build a shared component library/SDK for pipelines: ingestion, parsing/OCR, extraction (RegEx now, LLM/SLM later), validation, enrichment, publishing. Define patterns/templates for Apache Beam pipelines and Databricks jobs; standardize configuration, packaging, versioning, CI/CD, and documentation. Create pluggable interfaces so multiple teams can swap extractors (Regex/LLM), OCR providers, and EMR publishers without code rewrites. Define repo strategy - shared/child repos for each use case Performance and reliability: Own end-to-end profiling and tuning: cProfile/py-spy/line_profiler, memory (tracemalloc), CPU vs I/O analysis. Instrument services with Elastic APM and correlate traces/metrics with Splunk logs; build dashboards and runbooks. Implement concurrency best practices: asyncio for I/O-bound, ThreadPool/ProcessPool for CPU-bound, batching, rate limiting, retries, etc. Implement robust LLM API rate limiting/governance: enforce provider TPM and concurrency caps, request queueing/token budgeting, and emit APM/Splunk metrics (throttle rate, queue depth, cost per job) with alerts. Establish SLOs/alerts for throughput, latency, error rates; set up DLQs and recovery patterns. Team enablement: Mentor devs, lead design reviews, codify best practices, write clear docs and examples. Partner with ML engineers on the future LLM/SLM path (evaluation harness, safety/PII, cost/perf). Expertise You'll Bring: 7+ years Python with strong depth in performance and concurrency (asyncio, concurrent.futures, multiprocessing), profiling and memory tuning. Observability expertise: Elastic APM instrumentation and dashboarding; Splunk for logs and correlation; OpenTelemetry familiarity. Must have implemented LLM based solutions and supported them in production API engineering for high-throughput integrations (REST, OAuth2), resilience patterns, and secure handling of sensitive data. Strong architecture/design skills: clean interfaces, packaging shared libs, versioning, CI/CD (GitHub Actions/Azure DevOps), testing. 3+ years building large-scale data pipelines with Apache Beam and/or Spark, including hands-on Databricks experience (Jobs, Delta Lake, cluster tuning). Document processing: OCR (Tesseract, AWS Textract, Azure Form Recognizer), PDF parsing, text normalization. LLM/SLM integration experience (e.g., OpenAI/Azure AI, local SLMs), prompt/eval frameworks, PII redaction/guardrails. Cloud and tooling: AWS/Azure/GCP, Dataflow/Flink, Terraform, Docker; cost/performance tuning on Databricks. Security/compliance mindset (HIPAA), secrets management, least-privilege access. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We support hybrid work and flexible hours to fit diverse lifestyles. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let’s unleash your full potential at Persistent - persistent.com/careers “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Hello, We are looking for AI/ML Engineers / Interns who can handle end-to-end data-to-AI pipeline. Responsibilities: - Convert scanned legal PDFs into clean, structured text using OCR tools (Tesseract, PaddleOCR, DocTR). - Perform data cleaning, preprocessing, and chunking (300–600 tokens with overlap, section-wise). - Generate embeddings and build Vector DB indexes (FAISS / Qdrant / Weaviate). - Implement RAG pipelines (LangChain / LlamaIndex) to connect legal data with GPT models (OpenAI GPT-4o Mini / GPT-4.1 Mini). - Ensure source-grounded answers with Act/Section citations and prevent hallucinations. - Evaluate system performance (Recall@k, latency, faithfulness, hallucination rate). - Work with legal researchers to align AI output with real law practices. Required Skills: - Strong Python (Pandas, Regex, JSON handling). - Experience with OCR tools (Tesseract, PaddleOCR, pdfplumber, PyMuPDF). - Knowledge of NLP basics (tokenization, embeddings, transformers). - Hands-on with Vector DBs (FAISS, Qdrant, Weaviate). - Familiarity with LangChain / LlamaIndex for RAG. - OpenAI API integration (prompting, structured outputs). - Basic knowledge of Git + Docker for deployment. Location : NCR/Delhi. Best Regards, Job Type: Full-time Pay: ₹50,000.00 - ₹90,000.00 per month Work Location: In person

About Position: We are looking for an experienced and talented Python Architect to join our growing data competency team. The ideal candidate will have a strong background in working with Lead Python Platform, Apache Beam + Databricks platform, parsing/OCR, Validation, Implementation, Cloud (AWS/Azure/GCP). We have built the core features, but need a senior engineer to architect. Role: Python Architect Location: All Persistent Locations Experience: 7 to 14 Years Job Type: Full Time Employment What You'll Do: Architecture and reuse: Design and build a shared component library/SDK for pipelines: ingestion, parsing/OCR, extraction (RegEx now, LLM/SLM later), validation, enrichment, publishing. Define patterns/templates for Apache Beam pipelines and Databricks jobs; standardize configuration, packaging, versioning, CI/CD, and documentation. Create pluggable interfaces so multiple teams can swap extractors (Regex/LLM), OCR providers, and EMR publishers without code rewrites. Define repo strategy - shared/child repos for each use case Performance and reliability Own end-to-end profiling and tuning: cProfile/py-spy/line_profiler, memory (tracemalloc), CPU vs I/O analysis. Instrument services with Elastic APM and correlate traces/metrics with Splunk logs; build dashboards and runbooks. Implement concurrency best practices: asyncio for I/O-bound, ThreadPool/ProcessPool for CPU-bound, batching, rate limiting, retries, etc. Implement robust LLM API rate limiting/governance: enforce provider TPM and concurrency caps, request queueing/token budgeting, and emit APM/Splunk metrics (throttle rate, queue depth, cost per job) with alerts. Establish SLOs/alerts for throughput, latency, error rates; set up DLQs and recovery patterns. Team Enablement Mentor devs, lead design reviews, codify best practices, write clear docs and examples. Partner with ML engineers on the future LLM/SLM path (evaluation harness, safety/PII, cost/perf). Expertise You'll Bring: 7+ years Python with strong depth in performance and concurrency (asyncio, concurrent.futures, multiprocessing), profiling and memory tuning. Observability expertise: Elastic APM instrumentation and dashboarding; Splunk for logs and correlation; OpenTelemetry familiarity. Must have implemented LLM based solutions and supported them in production API engineering for high-throughput integrations (REST, OAuth2), resilience patterns, and secure handling of sensitive data. Strong architecture/design skills: clean interfaces, packaging shared libs, versioning, CI/CD (GitHub Actions/Azure DevOps), testing. 3+ years building large-scale data pipelines with Apache Beam and/or Spark, including hands-on Databricks experience (Jobs, Delta Lake, cluster tuning). Document processing: OCR (Tesseract, AWS Textract, Azure Form Recognizer), PDF parsing, text normalization. LLM/SLM integration experience (e.g., OpenAI/Azure AI, local SLMs), prompt/eval frameworks, PII redaction/guardrails. Cloud and tooling: AWS/Azure/GCP, Dataflow/Flink, Terraform, Docker; cost/performance tuning on Databricks. Security/compliance mindset (HIPAA), secrets management, least-privilege access. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We support hybrid work and flexible hours to fit diverse lifestyles. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let’s unleash your full potential at Persistent - persistent.com/careers “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”