56 Tesseract Jobs - Page 2

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: App Automation Eng Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. What are we looking for - Expertise in RPA tools like Automation Anywhere, UiPath, or Blue Prism.- Advanced knowledge of AI, machine learning, and OCR technologies.- Strong coding skills in Python, C#, or similar languages for custom integrations and enhancements.- Proficiency in integrating OCR solutions like ABBYY, Tesseract, Google Vision, or AWS Textract with RPA platforms.- Ability to design scalable automation architectures that use AI for cognitive tasks.-Stakeholder management-Good communicationFlexible Roles and Responsibilities: - Lead the design and implementation of AI-powered RPA solutions.- Oversee the integration of OCR technology to handle unstructured data within RPA workflows.- Provide technical leadership and mentoring to junior developers.- Conduct performance tuning and ensure that the AI/OCR systems are scalable, reliable, and performant.- Work closely with business stakeholders to identify automation opportunities.- Conduct advanced troubleshooting and resolve complex automation issues. Qualification Any Graduation

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. Show more Show less

RPA Developer (Automation Anywhere) || 5+ years || Remote (India) Work timings: UK shift (2-11 pm IST) Employment Type: Full-Time Experience Level: 5+ years Work Mode: Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad Notice: Immediate to 30 days notice Role overview: Seeking a highly skilled and experienced RPA Developer with expertise in Automation Anywhere to join our Automation Center of Excellence. The ideal candidate will have 5+ years of hands-on experience in designing, developing, testing, and deploying RPA bots, along with a strong understanding of process automation, exception handling, and bot lifecycle management. Required Skills & Qualifications: Bachelors degree in Computer Science, IT, or related field. Proficient in Automation Anywhere v11 and/or A360 development and control room operations. Strong knowledge of bot types (attended/unattended), IQ Bots, MetaBots, and Bot Insight. Experience in integrating RPA with external systems via APIs or web services. Strong understanding of software development life cycle (SDLC) and agile methodologies. Good programming/scripting knowledge in .NET, Java, VBScript, Python, or JavaScript is a plus. Excellent problem-solving skills and attention to detail. Strong communication and documentation skills. Preferred Certifications and Work Experience: Automation Anywhere Certified Advanced RPA Professional or equivalent certification. Experience in working with OCR tools like ABBYY, Tesseract, or Automation Anywhere IQ Bot. Exposure to other RPA tools like UiPath, Blue Prism, or Power Automate is a plus. Familiarity with databases (SQL/NoSQL), Excel Macros, and other automation-enabling technologies. Key Responsibilities: Design, develop, and deploy RPA solutions using Automation Anywhere (v11 or A360). Analyze business processes to identify automation opportunities and assess automation feasibility. Create reusable components and ensure best practices for bot development and deployment. Manage bot lifecycles including version control, maintenance, and exception handling. Collaborate with business analysts and stakeholders to translate functional requirements into technical solutions. Perform bot testing (unit, integration, and UAT support) and resolve bugs/issues. Provide post-production support and optimize bots for performance and scalability. Maintain documentation related to bot design, architecture, and operations. Mentor junior developers and contribute to RPA CoE governance and standards

We're Hiring: Front Desk & Calling Assistant Location: Tesseract Sports Club Working Hours: 10:00 AM – 6:00 PM Join our premium sports club and become the first point of contact for our growing community! Role Overview: We’re looking for a warm, energetic, and responsible Front Desk & Calling Assistant to handle daily operations and client communication. You’ll work closely under the guidance of the club manager and play a key role in ensuring smooth operations and excellent member engagement. Key Responsibilities: Greet and assist walk-in members and guests at the front desk Handle basic operational tasks as directed by your manager Make outgoing calls for: Care Calling – checking in on existing members Feedback Collection – gathering insights after sessions or events Lead Follow-Ups – reaching out to potential members from Facebook, Instagram, and other platforms I deal Candidate: Has good communication skills in English and Hindi Friendly, proactive, and organized Comfortable using phone, CRM systems, and basic computer tools Prior experience in customer service or front desk roles is a plus If you love interacting with people and being part of a dynamic sports environment, this is the role for you! Job Type: Full-time Pay: ₹10,000.00 - ₹15,000.00 per month Work Location: In person

Please note its NOT work from home job Interview location : In person We are not conduting any telephonic interviews. Key Skills Ability to work with large data sets using Python. Have a strong background in Python programming, MySQL, Linux, and Machine Learning. Basic knowledge of other relevant technologies, including Cloud computing, Jupyter Notebook, Machine learning algorithms, TensorFlow, PyTorch, Tesseract OCR, and NLP techniques and models such as SpaCy, Bert, NLTK and AutoML. Working through the phases of the project Job Type: Full-time Pay: ₹8,163.63 - ₹23,007.59 per month Schedule: Day shift Morning shift Work Location: In person

Job Title: Computer Vision & AI/ML Engineer Location: Katargam, Surat Job Type: Full-Time Experience: Minimum 2 Years Salary: Based on Interview Performance About the Role: We are building an innovative module for our application that uses AI and computer vision to help customers identify medicines by uploading images of prescriptions or medicine packaging. Based on the image input, the system should recognize the medicine name and either suggest the exact product from our inventory or recommend similar alternatives if an exact match is unavailable. We are looking for a passionate AI/ML Engineer with a focus on computer vision to lead the development of this module. You’ll work closely with our product and engineering teams to design, train, and deploy high-accuracy models that deliver fast, reliable results to users. Key Responsibilities: Build and deploy image recognition models to extract relevant data from prescription photos and medicine packaging images . Integrate OCR (Optical Character Recognition) and object detection techniques to identify medicine names, dosage, and other key information. Develop a recommendation engine to suggest the same or similar medicines based on recognized input. Collaborate with product and backend teams to integrate the AI module into the main app. Continuously evaluate model performance and retrain with new data to improve accuracy. Stay up to date with the latest advancements in computer vision, OCR, and AI-based healthcare solutions . Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. 2+ years of experience in machine learning or computer vision projects. Strong knowledge of Python and experience with libraries such as OpenCV, TensorFlow, PyTorch, or Keras . Proven experience with OCR technologies (e.g., Tesseract, Google Vision, or AWS Textract). Familiarity with image classification , object detection , and image-to-text conversion . Solid understanding of deep learning architectures like CNNs. Experience working with medical datasets or pharmacy-related AI is a big plus. Ability to convert business requirements into technical solutions and model pipelines. Share resume on 6264203749 Job Types: Full-time, Permanent Pay: From ₹25,000.00 per month Schedule: Day shift Work Location: In person

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. Show more Show less

We are seeking a skilled and innovative Deep Learning Engineer to join our AI/ML team. As a Deep Learning Engineer, you will develop, train, and deploy computer vision models that solve complex visual problems. You will work on cutting-edge technology involving image processing, object detection, and video analysis, collaborating with cross-functional teams to create impactful real-world applications. Role: Data Scientist / Deep Learning Engineer Location: Pune General Summary Of The Role Develop and optimize computer vision models for object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). Work with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR) for text extraction from images. Work with PyTorch, TensorFlow, OpenCV for deep learning and image processing. Implement sequence-based models (RNNs, LSTMs, GRUs) for vision tasks. Optimize software for real-time performance on multiple platforms. Implement and deploy AI models via Flask/FastAPI and integrate with SQL/NoSQL databases. Use Git/GitHub for version control and team collaboration. Apply ML algorithms (regression, decision trees, clustering) as needed. Review code, mentor team members, and enhance model efficiency. Stay updated with advancements in deep learning and multimodal AI. Required Skills & Qualifications Python proficiency for AI development. Experience with PyTorch, TensorFlow, and OpenCV. Knowledge of object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). Experience with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR). Experience with RNNs, LSTMs, GRUs for sequence-based tasks. Experience with Generative Adversarial Networks (GANs) and Diffusion Models for image generation. Familiarity with REST APIs (Flask/FastAPI) and SQL/NoSQL databases. Strong problem-solving and real-time AI optimization skills. Experience with Git/GitHub for version control. Knowledge of Docker, Kubernetes, and model deployment at scale on serverless and onprem platforms. Understanding of vector databases (FAISS, Milvus). Preferred Qualifications Experience with cloud platforms (AWS, GCP, Azure). Experience with Vision Transformers (ViTs) and Generative AI (GANs, Stable Diffusion, LMMs). Familiarity with Frontend Technologies. Skills: computer vision,object detection,models,platforms,opencv,diffusion models,databases,classification,lstms,tensorflow,deep learning,python,rest apis,learning,grus,ocr technologies,pytorch,git,generative adversarial networks,image classification,sql/nosql databases,kubernetes,docker,vector databases,rnns,diffusion,data Show more Show less

We are hiring an experienced AI Developer who specializes in computer vision, object detection, and OCR technologies. The ideal candidate will work closely with the development team to design, train, and deploy machine learning models that extract meaningful insights from visual data. You will be responsible for model training, data annotation, API integration, and creating end-to-end AI pipelines. Job Responsibilities Develop and fine-tune object detection models using YOLOv5/YOLOv8, Detectron2, or SSD Preprocess image data using OpenCV (contours, morphology, edge detection, etc.) Train custom models using labeled datasets, including bounding box annotations Use annotation tools such as CVAT, LabelImg, or Roboflow to label and manage datasets Prepare data in YOLO format, apply augmentation techniques to increase accuracy Integrate OCR engines such as Tesseract or EasyOCR to extract text from images Associate spatial text with detected objects using bounding box linking and proximity-based matching Build and deploy REST APIs using Flask or FastAPI for serving trained models Collaborate with frontend/backend developers to integrate AI models into applications Job Qualifications: Must-Have Skills Experience with YOLO (v5/v8), Detectron2, or SSD object detection models Proficient in image preprocessing techniques using OpenCV Hands-on experience with annotation tools like CVAT, LabelImg, or Roboflow Ability to prepare and format datasets for training (e.g., YOLO format, augmentation) Strong knowledge of OCR tools such as Tesseract OCR or EasyOCR Experience in linking spatial text with detected objects and proximity-based matching Proficiency in building RESTful APIs using Flask or FastAPI Solid understanding of Python, machine learning, and deep learning frameworks (e.g., PyTorch, TensorFlow) Nice to Have Knowledge of Docker, cloud deployment (AWS/GCP), and CI/CD practices Experience with model monitoring and performance optimization Familiarity with database technologies (e.g., MongoDB, PostgreSQL) Job Type: Full-time Benefits: Health insurance Provident Fund Schedule: Day shift Education: Bachelor's (Preferred) Experience: Python (PyTorch, TensorFlow): 1 year (Required) object detection Models: 1 year (Required) OpenCV: 1 year (Required) Location: Kulathur, Thiruvananthapuram, Kerala (Preferred) Work Location: In person Application Deadline: 30/06/2025

We are seeking a skilled and innovative Deep Learning Engineer to join our AI/ML team. As a Deep Learning Engineer, you will develop, train, and deploy computer vision models that solve complex visual problems. You will work on cutting-edge technology involving image processing, object detection, and video analysis, collaborating with cross-functional teams to create impactful real-world applications. Role: Data Scientist / Deep Learning Engineer Location: Pune General Summary Of The Role Develop and optimize computer vision models for object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). Work with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR) for text extraction from images. Work with PyTorch, TensorFlow, OpenCV for deep learning and image processing. Implement sequence-based models (RNNs, LSTMs, GRUs) for vision tasks. Optimize software for real-time performance on multiple platforms. Implement and deploy AI models via Flask/FastAPI and integrate with SQL/NoSQL databases. Use Git/GitHub for version control and team collaboration. Apply ML algorithms (regression, decision trees, clustering) as needed. Review code, mentor team members, and enhance model efficiency. Stay updated with advancements in deep learning and multimodal AI. Required Skills & Qualifications Python proficiency for AI development. Experience with PyTorch, TensorFlow, and OpenCV. Knowledge of object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). Experience with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR). Experience with RNNs, LSTMs, GRUs for sequence-based tasks. Experience with Generative Adversarial Networks (GANs) and Diffusion Models for image generation. Familiarity with REST APIs (Flask/FastAPI) and SQL/NoSQL databases. Strong problem-solving and real-time AI optimization skills. Experience with Git/GitHub for version control. Knowledge of Docker, Kubernetes, and model deployment at scale on serverless and onprem platforms. Understanding of vector databases (FAISS, Milvus). Preferred Qualifications Experience with cloud platforms (AWS, GCP, Azure). Experience with Vision Transformers (ViTs) and Generative AI (GANs, Stable Diffusion, LMMs). Familiarity with Frontend Technologies. Skills: computer vision,faster r-cnn,diffusion models,resnet,efficientnet,deep learning,python,ssd,github,crnn,git,fastapi,mobilenet,docker,kubernetes,rnns,azure,flask,gcp,models,platforms,opencv,tesseract,vits,databases,aws,classification,lstms,tensorflow,nosql,sql,yolo,learning,grus,pytorch,easyocr,generative adversarial networks (gans),milvus,trocr,faiss,diffusion Show more Show less

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. Show more Show less

We are hiring an experienced AI Developer who specializes in computer vision, object detection, and OCR technologies. The ideal candidate will work closely with the development team to design, train, and deploy machine learning models that extract meaningful insights from visual data. You will be responsible for model training, data annotation, API integration, and creating end-to-end AI pipelines. Job Responsibilities Develop and fine-tune object detection models using YOLOv5/YOLOv8, Detectron2, or SSD Preprocess image data using OpenCV (contours, morphology, edge detection, etc.) Train custom models using labeled datasets, including bounding box annotations Use annotation tools such as CVAT, LabelImg, or Roboflow to label and manage datasets Prepare data in YOLO format, apply augmentation techniques to increase accuracy Integrate OCR engines such as Tesseract or EasyOCR to extract text from images Associate spatial text with detected objects using bounding box linking and proximity-based matching Build and deploy REST APIs using Flask or FastAPI for serving trained models Collaborate with frontend/backend developers to integrate AI models into applications Job Qualifications: Must-Have Skills Experience with YOLO (v5/v8), Detectron2, or SSD object detection models Proficient in image preprocessing techniques using OpenCV Hands-on experience with annotation tools like CVAT, LabelImg, or Roboflow Ability to prepare and format datasets for training (e.g., YOLO format, augmentation) Strong knowledge of OCR tools such as Tesseract OCR or EasyOCR Experience in linking spatial text with detected objects and proximity-based matching Proficiency in building RESTful APIs using Flask or FastAPI Solid understanding of Python, machine learning, and deep learning frameworks (e.g., PyTorch, TensorFlow) Nice to Have Knowledge of Docker, cloud deployment (AWS/GCP), and CI/CD practices Experience with model monitoring and performance optimization Familiarity with database technologies (e.g., MongoDB, PostgreSQL) Job Type: Full-time Benefits: Health insurance Provident Fund Schedule: Day shift Education: Bachelor's (Preferred) Experience: Python (PyTorch, TensorFlow): 1 year (Required) object detection Models: 1 year (Required) OpenCV: 1 year (Required) Location: Kulathur, Thiruvananthapuram, Kerala (Preferred) Work Location: In person Application Deadline: 30/06/2025

Python Backend Developer (FastAPI + LLM/ML Integrations) Location: Remote / Hybrid Type: Contract / Full-time Experience: 3+ Years Role Overview: We are seeking a skilled Python Backend Developer to design, build, and optimize RESTful APIs for seamless interaction with Large Language Models (LLMs), machine learning services, and cloud-based AI tools. You will work closely with frontend teams to deliver robust API services, manage database interactions, and integrate AI/ML components into scalable backend systems. The ideal candidate will have strong expertise in FastAPI, Python-based API development, text extraction (PDFs, documents), and cloud-based ML services (AWS Bedrock, Vertex AI, etc.). Key Responsibilities: Design and develop high-performance REST APIs using FastAPI for frontend consumption. Integrate with LLMs (OpenAI, Anthropic, Llama2, etc.) and ML models (RAG pipelines, embeddings, fine-tuning). Extract and process text/data from PDFs, documents, and unstructured sources using Python libraries (PyPDF2, pdfplumber, unstructured.io, etc.). Work with databases (PostgreSQL, MongoDB, Redis) for efficient data storage/retrieval. Implement authentication (JWT/OAuth), rate limiting, and API security best practices. Collaborate with frontend teams to optimize API responses and ensure smooth integration. Deploy and manage APIs on AWS/GCP (Lambda, API Gateway, EC2, Docker). Work with AI/ML tools like LangChain, LlamaIndex, Weaviate, or Pinecone for retrieval-augmented workflows. Write clean, scalable, and well-documented code with unit/integration testing (Pytest). Technology Stack: Backend: Python, FastAPI, Flask (optional), async programming AI/ML Integrations: OpenAI API, Hugging Face, AWS Bedrock, LangChain, LlamaIndex Database: PostgreSQL, MongoDB, Redis, ORMs (SQLAlchemy, Pydantic) Document Processing: PyPDF2, pdfplumber, unstructured.io, OCR tools (Tesseract) Cloud & DevOps: AWS (Lambda, API Gateway, S3), Docker, CI/CD (GitHub Actions) API Tools: Postman, Swagger/OpenAPI, RESTful standards Version Control: Git, GitHub/GitLab Required Skills & Experience: 3+ years of Python backend development (FastAPI/Flask/Django). Strong experience in building REST APIs for frontend/UI consumption. Familiarity with LLM APIs, RAG pipelines, and AI/ML cloud services. Knowledge of text extraction from PDFs/documents and data preprocessing. Experience with relational & NoSQL databases (PostgreSQL, MongoDB). Understanding of JWT, OAuth, API security, and rate limiting. Basic knowledge of AWS/GCP cloud services (Lambda, S3, EC2). Ability to work in an Agile/remote team environment. Nice to Have: Experience with asynchronous programming (async/await in FastAPI). Knowledge of WebSockets for real-time updates. Familiarity with ML model deployment (SageMaker, Vertex AI). Exposure to frontend frameworks (React, Next.js) for better API collaboration. Exposure to HIPAA Complaint project is a must. Show more Show less

Customize Llama or leverage OpenAI 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 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Responsibilities:  Develop & Maintain Test Automation Frameworks: Design and implement test automation frameworks using Python, ensuring robustness, scalability, and maintainability.  Test Tool Development: Build custom tools and utilities for enhancing the testing process, leveraging Python and other relevant technologies.  SDET Expertise: Work closely with the development team to write efficient, reusable test code that integrates seamlessly into the CI/CD pipeline.  Test Planning & Execution: Develop and execute comprehensive test plans, including functional, regression, performance, and integration tests.  Collaboration: Work in close collaboration with development, product, and operations teams to understand software requirements and design appropriate testing strategies.  Automation Optimization: Continuously improve existing test scripts, tools, and processes to increase efficiency, reduce maintenance, and optimize test execution time.  Analytical & Problem-Solving: Use strong analytical skills to identify areas of improvement, troubleshoot issues, and provide solutions.  Continuous Improvement: Contribute to process improvements, best practices, and the adoption of new technologies that enhance testing capabilities.  Documentation: Maintain clear and thorough documentation of testing processes, tools, and frameworks.  Metrics and Reporting: Generate reports on testing metrics, providing insights into the quality of the product and areas for improvement. Qualifications:  5+ years of experience in software testing, including significant experience as an SDET or in a similar role.  Strong experience with Python: Hands-on experience developing and maintaining test automation frameworks, writing test scripts, and creating custom tools using Python.  Proficient in Automation Tools: Experience with popular automation tools and frameworks like Selenium, PyTest, Robot Framework, or similar.  Familiarity with Python Libraries: Strong experience with Python libraries such as Pandas, NumPy, Matplotlib, or SciPy for data manipulation, analysis, and visualization, especially for reporting and logging purposes in automated test cases.  Strong Analytical Skills: Proven ability to analyze complex systems, diagnose issues, and identify root causes.  Experience with CI/CD Pipelines: Familiarity with CI/CD tools such as Jenkins, GitHub, or similar.  Knowledge of Testing Methodologies: In-depth understanding of testing methodologies, test levels, and test strategies (unit, integration, functional, performance, etc.).  Database Testing & SQL: Experience with testing database-driven applications and writing SQL queries to validate data.  Version Control: Familiarity with version control tools like Git.  Problem-Solving Mindset: Strong troubleshooting and problem-solving abilities in complex systems and tools.  Communication Skills: Strong verbal and written communication skills, with the ability to explain technical concepts clearly. Preferred Skills (Nice to Have):  AI/ML Knowledge: Understanding of artificial intelligence (AI) and machine learning (ML) concepts, frameworks, and libraries like TensorFlow, PyTorch, or Scikit-learn.  GenAI Expertise: Familiarity with Generative AI (GenAI) technologies, such as GPT or similar models, and their application in automating or enhancing testing and development processes.  OCR Technology: Experience with Optical Character Recognition (OCR) technology, tools, and frameworks like Tesseract or Google Vision API, particularly in testing document processing or image-based data systems.  Cloud Testing: Experience with testing in cloud-native environments (AWS, Azure, Google Cloud).  Containerization: Familiarity with containerization technologies like Docker.  API Testing: Experience with API testing tools (e.g., Postman, REST Assured).  Performance Testing: Knowledge of performance testing tools like JMeter or LoadRunner.  Agile Methodologies: Exposure to Agile methodologies and working in Agile environments.  Test-Driven Development (TDD) or Behavior-Driven Development (BDD) experience. Show more Show less

We are looking for a Document Extraction and Inference Engineer with expertise in traditional machine learning algorithms and rule based NLP techniques. The ideal candidate will have a strong foundation in document processing, structured data extraction, and inference modeling using classical ML approaches. You will work on designing, implementing, and optimizing document extraction pipelines for various applications, ensuring accuracy and efficiency. Key Responsibilities Develop and implement document parsing and structured data extraction techniques. Utilize OCR (Optical Character Recognition) and pattern-based NLP for text extraction. Optimize rulebased and statistical models for document classification and entity recognition. Design feature engineering strategies for improving inference accuracy. Work with structured and semistructured data (PDFs, scanned documents, XML, JSON). Implement knowledgebased inference models for decisionmaking applications. Collaborate with data engineers to build scalable document processing pipelines. Conduct error analysis and improve extraction accuracy through iterative refinements. Stay updated with advancements in traditional NLP and document processing techniques. Required Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field. 3+ years of experience in document extraction and inference modeling. 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 graphbased 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 Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Leverage AI/ML technologies to transform and improve current Optum system. This involves working with large-scale computing frameworks and data analysis systems Produce innovative solutions driven by exploratory data analysis from unstructured, diverse datasets. They apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Collaborate closely with business and product teams to grasp the requirements and translate vague concepts into tangible AI solutions. Possess solid problem solving and implementation skills to bring these solutions to life and work with engineering teams to build scalable, flexible product pipelines Adapt to an agile, fast-paced environment, and maintain a passion for exploring and integrating cutting-edge AI technologies to support future projects Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s / master’s degree in computer science, Math/Statistics, Electrical Engineering, Industrial Engineering, Bioinformatics, or another technical field that provides mathematical training 5+ years of Python development 3+ years of experience with AI/ML technologies and working with predictive analytics, image processing, Generative AI, or related technologies 3+ years of experience with AI Cloud services like Azure ML, Databricks, Azure OpenAI, or similar services in GCP / AWS 1+ years of experience in LLMs (Large Language Models) in cloud (Azure, GCP, AWS) and RAG (Retrieval-Augmented Generation) Experience in building enterprise grade AI-driven solutions Experience in designing and implementing effective prompts for LLMs to ensure optimal performance and accuracy Experience in data ingestion, transformation, and management processes Familiarity with frameworks/libraries such as TensorFlow, PyMuPDF, Tesseract Demonstrated skills in data analytics and the ability to work with large datasets to extract meaningful insights Preferred Qualification Proven ability to find AI solutions for undefined problems Soft Skills Ability to be a fast learner and self-driven Ability to work independently on complex AI projects

Trinesis Technologies Private Limited is currently seeking an innovative and experienced Python Developer to join our dynamic team. The successful candidate will have an in-depth understanding of the entire web development process, including design, development, and deployment, to build high-quality and user-friendly web applications. Key Responsibilities: · Develop modules and applications using Python. · Collaborate with cross-functional teams to analyze, design, and implement features. · Optimize application performance and ensure responsiveness. · Write clean, maintainable, and reusable code. · Work closely with cross-functional teams, including designers, back-end developers, and product managers. · Participate in code reviews and provide constructive feedback to team members. · Stay up-to-date with the latest trends and technologies in development. Requirements: Must Have · Bachelor’s degree in Computer Science, Engineering, or a related field. · Solid Data Structure concepts. · 5+ years of experience in back-end development, with a focus on Python. · Proficient in Python core, Python functional, Python OOPS, Exception handling, Context managers, Multithreading. · Should have a solid understanding of SQL fundamentals. · Familiarity with version control systems such as Git. · Excellent problem-solving and communication skills. · Ability to work effectively in a fast-paced environment and meet project deadlines. · Technical Documentation. Additional Qualifications: Nice to Have · Experience with other frameworks/libraries such as micro web frameworks in the backend. · Knowledge to deploy APIs (can be monolith or microservice) on cloud (AWS/Azure/GCP). · Knowledge in Machine Learning or LLM will be a plus. · Experience with Microservices will be a plus. · Knowledge in using tools like JIRA and Trello. · Experience in Tesseract, Bottle, OpenCV, OCR. · Experience with Agile methodologies. · Experience with Hyper Science or any other IDP Application Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Ability to commute/relocate: Kharadi, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

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. Show more Show less

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. Show more Show less

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. Show more Show less

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. Show more Show less

*Machine Learning Lead – LLMs, GenAI & Conversational AI* Noida (Sector 63) – Hybrid (office-based role) * *2+ years* hands-on in LLM / Generative AI * *5+ years* overall in AI/ML or IT Full-time 🔍 About the Role Jupiter AI Labs is looking for a *Machine Learning Lead* to spearhead development and deployment of cutting-edge AI solutions across NLP, Vision, and Speech. You’ll architect LLM & agentic-AI pipelines, build conversational agents, own CI/CD deployments, mentor junior engineers, and liaise directly with clients and stakeholders. 🧩 Key Responsibilities * *End-to-end LLM Solutions*: Lead design, fine-tuning & deployment of chatbots, multi-agent (A2A/MCP) workflows. * *Open-Source Model Integration*: Architect pipelines with Llama2, Mistral, Claude, GPT-series via Hugging Face, LangChain, etc. * *AI Agent Orchestration*: Build automations with N8N / Make.com / LangGraph. * *Conversational AI*: Develop assistants using Botpress, Rasa, Azure Bot Framework, AWS Lex. * *Speech & Vision*: Integrate ASR (Whisper, Coqui), TTS engines, and OCR models (Tesseract, PaddleOCR). * *Full-Stack ML APIs*: Develop FastAPI/Flask services, integrate into React/Node.js front ends. * *Cloud CI/CD*: Deploy scalable models on AWS/Azure/GCP, automate via Docker, Terraform, GitHub Actions. * *Team Leadership*: Mentor ML engineers, run daily standups, produce status reports. * *Client Engagement*: Represent Jupiter AI Labs in technical reviews, manage stakeholder expectations, deliver project documentation. --- ## 🛠️ Required Skills & Experience * 2+ years in *LLM / Generative AI* (prompt-engineering, fine-tuning, RAG). * Proficient with *Hugging Face*, LangChain, Transformers, vector databases. * Hands-on with *agentic AI* tools (LangGraph, CrewAI) and A2A/MCP pipelines. * Experience building *conversational agents* (Rasa, Botpress, Azure Bot, Lex). * Expertise in *ASR* and *TTS* integrations (Whisper, commercial APIs). * OCR modeling (Tesseract, PaddleOCR, Google Vision API). * Full-stack ML API development (FastAPI/Flask + React or Node). * Cloud deployment & CI/CD on AWS/Azure/GCP (Docker, Kubernetes, Terraform). * Workflow automation with *N8N*, Make.com, or Zapier. * Computer Vision experience (YOLO, OpenCV, custom CNNs). * Strong understanding of *MLOps* practices, version control, and monitoring. * Proven track record running daily standups, reporting, and mentoring. --- ## 🌟 Soft Skills * Exceptional verbal & written English communication. * Collaborative leadership in cross-functional teams. * Highly organized, proactive, and deadline-driven. * Ability to train freshers and manage junior engineers. * Strong stakeholder management and client-facing presence. --- ## 🎓 Preferred Qualifications * B.Tech / M.Tech / Ph.D. in Computer Science, AI, or related field. * Open-source contributions (GitHub, Hugging Face Spaces). * Certifications in AI/ML (AWS, Google Cloud, etc.). --- ## 🎁 What We Offer * Exposure to breakthrough LLM, CV, ASR & GenAI projects. * Ownership of end-to-end architecture and experiments. * Fast-paced, learning-driven culture. * Competitive salary + performance bonuses. * Medical insurance, flexible work hours, and career growth path. *To apply, please share your resume, answers to the screening questions, and links to any relevant GitHub or project portfolios to hr@juppiterailabs.com ( binni@juppiterailabs.com)**. We look forward to building the future of AI together! Show more Show less

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs

We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science and Automation We will count on you to: Identify opportunities which add value to the business and make the process more efficient. Invest in understand the core business including products, process, documents, and data points with the objective of identifying efficiency and value addition opportunities. Design and develop end-to-end NLP/LLM solutions for document parsing, information extraction, and summarization from PDFs and scanned text. Develop AI applications to automate manual and repetitive tasks using generative AI and machine learning. Fine-tune open-source LLMs (like LLaMA, Mistral, Falcon, or similar) or build custom pipelines using APIs (OpenAI, Anthropic, Azure OpenAI). Build custom extraction logic using tools like LangChain, Haystack, Hugging Face Transformers, and OCR libraries like Tesseract or Azure Form Recognizer. Create pipelines to convert outputs into formatted Microsoft Word or PDF files using libraries like docx, PDFKit, ReportLab, or LaTeX. Collaborate with data engineers and software developers to integrate AI models into production workflows. Ensure model performance, accuracy, scalability, and cost-efficiency across business use cases. Stay updated with the latest advancements in generative AI, LLMs, and NLP research to identify innovative solutions. Design, develop, and maintain robust data pipelines for extracting, transforming, and loading (ETL) data from diverse sources. As the operational scales up design and implement scalable data storage solutions and integrate them with existing systems. Utilize cloud platforms (AWS, Azure, Google Cloud) for data storage and processing. Conduct code reviews and provide mentorship to junior developers. Stay up-to-date with the latest technology trends and best practices in data engineering and cloud services. Ability to lead initiatives and deliver results by engaging with cross-functional teams and resolving data ambiguity issues. Be responsible for the professional development of your projects and institute a succession plan. What you need to have: Bachelor's degree in Engineering, Analytics, or a related field, MBA, Computer Applications, IT, Business Analytics, or any discipline. Proven experience of 8-12 years in Python development Hands-on experience with frameworks and libraries like Transformers, LangChain, PyTorch/TensorFlow, spaCy, Hugging Face, and Haystack. Strong expertise in document parsing, OCR (Tesseract, AWS Textract, Azure Form Recognizer), and entity extraction. Proficiency in Python and familiarity with cloud-based environments (Azure, AWS, GCP). Experience deploying models as APIs/microservices using FastAPI, Flask, or similar. Familiarity with PDF parsing libraries (PDFMiner, PyMuPDF, Apache PDFBox) and Word generation libraries (python-docx, PDFKit). Solid understanding of prompt engineering and prompt-tuning techniques. Proven experience with data automation and building data pipelines. Proven track record in building and maintaining data pipelines and ETL processes. Strong knowledge of Python libraries such as Pandas, NumPy, and PySpark, Camelot. Familiarity with database management systems (SQL and NoSQL databases). Experience in designing and implementing system architecture. Ability to operate in a multi layered technology architecture and shape the technology maturity of the organization. Solid understanding of software development best practices, including version control (Git), code reviews, and testing frameworks (PyTest, UnitTest). Strong attention to detail and ability to work with complex data sets. Effective communication skills to present findings and insights to both technical and non-technical stakeholders. Specify superior listening, verbal and written communication skills Excellent project management and organization skills Superlative stakeholder management skills – ability to positively influence stakeholders. Synthesis skills- Ability to connect the dots and answer the business question. Excellent problem-solving, structuring and critical-thinking skills. Ability to work independently and collaboratively in a fast-paced environment. What makes you stand out? Master’s degree in Computer Science, Engineering, or related fields. Experience in working with large-scale data sets and real-time data processing. Familiarity with additional programming languages like Java, C++, or R. Strong problem-solving skills and ability to work in a fast-paced environment. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. 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