114 Tesseract Jobs

Role & Responsibilities 4+ years of experience applying AI to practical uses Develop and train computer vision models for tasks like: Object detection and tracking (YOLO, Faster R-CNN, etc.) Image classification, segmentation, OCR (e.g., PaddleOCR, Tesseract) Face recognition/blurring, anomaly detection, etc. Optimize models for performance on edge devices (e.g., NVIDIA Jetson, OpenVINO, TensorRT). Process and annotate image/video datasets; apply data augmentation techniques. Proficiency in Large Language Models. Strong understanding of statistical analysis and machine learning algorithms. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Understanding of image processing concepts (thresholding, contour detection, transformations, etc.) Experience in model optimization, quantization, or deploying to edge (Jetson Nano/Xavier, Coral, etc.) Strong programming skills in Python (or C++), with expertise in: Implement and optimize machine learning pipelines and workflows for seamless integration into production systems. Hands-on experience with at least one real-time CV application (e.g., surveillance, retail analytics, industrial inspection, AR/VR). OpenCV, NumPy, PyTorch/TensorFlow Computer vision models like YOLOv5/v8, Mask R-CNN, DeepSORT Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead the implementation of large language models in AI applications. Research and apply cutting-edge AI techniques to enhance system performance. Contribute to the development and deployment of AI solutions across various domains Requirements Design, develop, and deploy ML models for: OCR-based text extraction from scanned documents (PDFs, images) Table and line-item detection in invoices, receipts, and forms Named entity recognition (NER) and information classification Evaluate and integrate third-party OCR tools (e.g., Tesseract, Google Vision API, AWS Textract, Azure OCR,PaddleOCR, EasyOCR) Develop pre-processing and post-processing pipelines for noisy image/text data Familiarity with video analytics platforms (e.g., DeepStream, Streamlit-based dashboards). Experience with MLOps tools (MLflow, ONNX, Triton Inference Server). Background in academic CV research or published papers. Knowledge of GPU acceleration, CUDA, or hardware integration (cameras, sensors).

Role & Responsibilities 4+ years of experience applying AI to practical uses Develop and train computer vision models for tasks like: Object detection and tracking (YOLO, Faster R-CNN, etc.) Image classification, segmentation, OCR (e.g., PaddleOCR, Tesseract) Face recognition/blurring, anomaly detection, etc. Optimize models for performance on edge devices (e.g., NVIDIA Jetson, OpenVINO, TensorRT). Process and annotate image/video datasets; apply data augmentation techniques. Proficiency in Large Language Models. Strong understanding of statistical analysis and machine learning algorithms. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Understanding of image processing concepts (thresholding, contour detection, transformations, etc.) Experience in model optimization, quantization, or deploying to edge (Jetson Nano/Xavier, Coral, etc.) Strong programming skills in Python (or C++), with expertise in: Implement and optimize machine learning pipelines and workflows for seamless integration into production systems. Hands-on experience with at least one real-time CV application (e.g., surveillance, retail analytics, industrial inspection, AR/VR). OpenCV, NumPy, PyTorch/TensorFlow Computer vision models like YOLOv5/v8, Mask R-CNN, DeepSORT Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead the implementation of large language models in AI applications. Research and apply cutting-edge AI techniques to enhance system performance. Contribute to the development and deployment of AI solutions across various domains Requirements Design, develop, and deploy ML models for: OCR-based text extraction from scanned documents (PDFs, images) Table and line-item detection in invoices, receipts, and forms Named entity recognition (NER) and information classification Evaluate and integrate third-party OCR tools (e.g., Tesseract, Google Vision API, AWS Textract, Azure OCR,PaddleOCR, EasyOCR) Develop pre-processing and post-processing pipelines for noisy image/text data Familiarity with video analytics platforms (e.g., DeepStream, Streamlit-based dashboards). Experience with MLOps tools (MLflow, ONNX, Triton Inference Server). Background in academic CV research or published papers. Knowledge of GPU acceleration, CUDA, or hardware integration (cameras, sensors).

Position title Document Processing & Automation Specialist Employment Type ☐Full-Time ☐ Part-Time ☒Contract Duration 3 Months – C2H Shift Timings 12PM-9PM About Client The client is a comprehensive healthcare organization that specializes in providing on-site medical and dental services to residents in long-term care, skilled nursing, and assisted living facilities. Their diverse network comprises skilled doctors, providers, industry-expert executives, and dedicated support staff, all committed to delivering high-quality care to underserved populations Job Description We are seeking a highly motivated and detail-oriented Document Processing & Automation Specialist with expertise in computer vision, particularly using OpenCV. In this role, you will be instrumental in enhancing the accuracy, reliability, and scalability of our automated document analysis systems. Your contributions will directly impact operational efficiency, data integrity, and the success of our broader digital transformation initiatives. This is a unique opportunity to apply your technical proficiency to real-world challenges and drive meaningful innovation within our organization Job Responsibilities Design, develop, and optimize computer vision algorithms for document classification, segmentation, and data extraction Work extensively with OpenCV and other image processing libraries to detect regions of interest, remove noise, and improve OCR readiness Conduct performance tuning and error analysis to improve the accuracy and throughput of the document automation system. Utilize OpenAI, Azure OpenAI, or similar LLM APIs for intelligent content extraction, reasoning, and validation from OCR text. Fine-tune and optimize AI models using prompt engineering, few-shot examples, and structured input/output patterns Assist in deploying models to production environments and monitor their performance. Monitor and analyze system performance, applying continuous improvements to ensure high accuracy and throughput Total Experience - 10+ years Min Experience - 8 years Domain - HealthCare Relevant Experience - 5 years Must have skills Proficiency with OpenCV for tasks like segmentation, denoising, bounding box detection, contour analysis Strong understanding of image preprocessing for OCR readiness. Python (advanced level) with experience in NumPy, Pandas, and file I/O operations. Ability to write clean, modular, and testable code. Experience working with at least one OCR engine such as Tesseract, Azure OCR, AWS Textract, or Google Vision Hands-on experience with OpenAI APIs (e.g., GPT-3.5, GPT-4) or Azure OpenAI Service. Prompt engineering skills for structured and unstructured data extraction Nice to have skills Basic NLP techniques (e.g., entity recognition, regex-based extraction, text cleaning). Experience with tools like spaCy, HuggingFace, or LangChain. Exposure to training or fine-tuning machine learning models (e.g., SVM, CNN, BERT). Experience deploying solutions on Azure, AWS, or GCP

Urgent Opening: Web Scraping – Data Crawling, AI/ML Location: Permanent Work From Home Job Type: Full-Time | Permanent Experience: 1.5+ Years (Preferred) About the Role We are looking for a skilled and experienced Python Developer with strong expertise in data crawling, web scraping, AI/ML, and CAPTCHA solving techniques. The ideal candidate is passionate about automation, data pipelines, and problem-solving with a deep understanding of the web ecosystem. This is a permanent remote opportunity, ideal for professionals looking to work in a flexible and innovative environment while delivering high-quality solutions in data acquisition and intelligent automation. Key Responsibilities Design and implement scalable data crawling/scraping solutions using Python. Develop tools to bypass or solve CAPTCHAs (e.g., reCAPTCHA, hCaptcha) using AI/ML or third-party APIs. Write efficient and robust data extraction and parsing logic for large-scale web data. Build and maintain AI/ML models for tasks such as image recognition, pattern detection, and anomaly detection. Optimize crawling infrastructure for speed, reliability, and anti-blocking strategies (rotating proxies, headless browsers, etc.). Integrate with APIs and databases to store, manage, and process scraped data. Monitor and troubleshoot scraping systems and adapt to changes in target websites. Collaborate with the team to define requirements, plan deliverables, and implement best practices. Required Skills & Qualifications 1.5+ years of hands-on experience with Python in web scraping/data crawling. Strong experience with Scrapy and Selenium. Deep understanding of CAPTCHA types and proven experience in solving or bypassing them. Proficient in AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, or OpenCV. Experience with OCR tools (Tesseract, EasyOCR) and image pre-processing techniques. Familiarity with anti-bot techniques, headless browsers, and proxy rotation. Solid understanding of HTML, CSS, JavaScript, HTTP protocols, and website structure. Strong problem-solving skills and attention to detail. Perks & Benefits Permanent Work from Home Flexible work hours Competitive salary based on experience Opportunities for skill development and upskilling Performance-based incentives How to Apply Interested candidates can email their updated resume and portfolio (if any) to jyoti@transformez.in with the subject line: Python Developer – Data Crawling & AI.

What You’ll Do: Build and deploy models for object detection , OCR , image classification , face recognition , and more. Develop real-time CV pipelines using YOLOv5/v8, Faster R-CNN, DeepSORT , etc. Integrate Generative AI and LLMs into CV workflows and end-user applications. Optimize models for edge devices (Jetson Nano/Xavier, Coral, OpenVINO). Work with annotated image/video datasets, apply augmentation and pre/post-processing. Lead cross-functional AI initiatives and guide team-level technical decisions. Must-Haves: 4+ years in AI/ML with practical deployments. Proficiency in Python , PyTorch/TensorFlow , and OpenCV . Hands-on with OCR tools : Tesseract, PaddleOCR, EasyOCR, etc. Solid understanding of image processing: contouring, segmentation, thresholding. Experience deploying models on edge: NVIDIA Jetson , TensorRT , etc. Exposure to LLMs and building end-to-end AI pipelines. Nice-to-Haves: Experience with AWS Textract , Azure OCR , or Google Vision API . Built tools for NER , invoice parsing , or document classification . Familiarity with DeepStream , Streamlit dashboards , and MLflow/ONNX . Academic research/published work in AI/CV fields. Knowledge of CUDA , sensors, and camera hardware integration. Why Join Us? Work on cutting-edge AI + CV projects with real-world impact. Be part of a team that values innovation, ownership, and experimentation . Opportunity to lead GenAI initiatives across domains. Job Type: Full-time Pay: ₹600,000.00 - ₹1,100,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Work Location: In person

Dear All, We are seeking a highly capable Machine Learning Engineer with deep expertise in fine-tuning Large Language Models (LLMs) and Vision-Language Models (VLMs) for intelligent document processing. This role requires strong knowledge of PEFT techniques (LoRA, QLoRA), quantization , transformer architectures , prompt engineering , and orchestration frameworks like LangChain . You’ll work on building and scaling end-to-end document processing workflows using both open-source and commercial models (OpenAI, Google, etc.), with an emphasis on performance, reliability, and observability. Key Responsibilities: Fine-tune and optimize open-source and commercial LLMs/VLMs (e.g., LLaMA,Cohere, Gemini, GPT-4) for structured and unstructured document processing tasks. Apply advanced PEFT techniques (LoRA, QLoRA) and model quantization to enable efficient deployment and experimentation. Design LLM-based document intelligence pipelines for tasks like OCR extraction, entity recognition, key-value pairing, summarization, and layout understanding. Develop and manage prompting techniques (zero-shot, few-shot, chain-of-thought, self-consistency) tailored to document use-cases. Implement LangChain -based workflows integrating tools, agents, and vector stores for RAG-style processing. Monitor experiments and production models using Weights & Biases (W&B) or similar ML observability tools. Work with OpenAI (GPT series) , Google PaLM / Gemini , and other LLM/VLM APIs for hybrid system design. Collaborate with cross-functional teams to deliver scalable, production-ready ML systems and continuously improve model performance. Build reusable, well-documented code and maintain a high standard of reproducibility and traceability. Required Skills & Experience: Hands-on experience with transformer architectures and libraries like HuggingFace Transformers. Deep knowledge of fine-tuning strategies for large models, including LoRA , QLoRA , and other PEFT approaches. Experience in prompt engineering and developing advanced prompting strategies. Familiarity with LangChain , vector databases (e.g., FAISS, Pinecone), and tool/agent orchestration. Strong applied knowledge of OpenAI , Google (Gemini/PaLM) , and other foundational LLM/VLM APIs. Proficiency in model training, tracking, and monitoring using tools like Weights & Biases (W&B) . Solid understanding of deep learning , machine learning , natural language processing , and computer vision concepts. Experience working with document AI models (e.g., LayoutLM, Donut, Pix2Struct) and OCR tools (Tesseract, EasyOCR, etc.). Proficient in Python , PyTorch , and related ML tooling. Nice-to-Have: Experience with multi-modal architectures for document + image/text processing. Knowledge of RAG systems , embedding models , and custom vector store integrations. Experience in deploying ML models via FastAPI , Triton , or similar frameworks. Contributions to open-source AI tools or model repositories. Exposure to MLOps , CI/CD pipelines , and data versioning. Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Why Join Us? Work on cutting-edge GenAI and Document AI use-cases. Collaborate in a fast-paced, research-driven environment. Flexible work arrangements and growth-focused culture. Opportunity to shape real-world applications of LLMs and VLMs.

Life at MX We are driven by our moral imperative to advance mankind - and it all starts with our people, product and purpose. We always carry a deep sense of drive and passion with us. If you thrive in a challenging work environment, surrounded by incredible team members who will help you grow, MX is the right place for you. Come build with us and be part of an award-winning company that’s helping create meaningful and lasting change in the financial industry. We’re looking for a highly skilled engineer who thrives at the intersection of automation, AI, and web data extraction . You will be responsible for building advanced web scraping systems, designing evasion strategies to bypass anti-bot mechanisms, and integrating intelligent data extraction techniques. This role requires strong expertise in TypeScript , Puppeteer (or Playwright) , and modern scraping architectures, along with a practical understanding of bot detection mechanisms and machine learning for smarter data acquisition. Key Responsibilities Design and maintain scalable web scraping pipelines using Puppeteer, Playwright, or headless browsers Implement evasion techniques to bypass bot detection systems (e.g., fingerprint spoofing, dynamic delays, proxy rotation) Leverage AI/ML models for intelligent parsing, CAPTCHA solving, and anomaly detection Handle large-scale data collection with distributed scraping infrastructure Monitor scraping performance, detect bans, and auto-recover from failure states Build structured outputs (e.g., JSON, GraphQL feeds) from semi-structured/unstructured sources Collaborate with product and data science teams to shape high-quality, reliable data inputs Ensure compliance with legal and ethical scraping practice Required Skills & Experience 4+ years of experience building and scaling web scraping tools Strong proficiency in TypeScript and Node.js Hands-on with Puppeteer, Playwright, or Selenium for browser automation Deep understanding of how bot detection systems work (e.g., Cloudflare, Akamai, hCaptcha) Experience with proxy management, user-agent spoofing, fingerprint manipulation Familiarity with CAPTCHA solving libraries/APIs, ML-based screen parsing, OCR Working knowledge of AI/ML for parsing or automation (e.g., Tesseract, TensorFlow, OpenAI APIs) Comfortable working with large-scale data pipelines, queues (e.g., Kafka, RabbitMQ), and headless fleet management Additional Skills Experience with cloud infrastructure (AWS/GCP) for scalable scraping jobs CI/CD and containerization (Docker, Kubernetes) for deployment Knowledge of ethical and legal considerations around data scraping Contributions to open-source scraping frameworks or tools Work Environment In this role, a significant aspect of the job involves working in the office for a standard 40-hour workweek. We believe that the collaborative nature of our work and the face-to-face interactions among team members are essential for fostering a dynamic and productive work environment. Being present in the office enables seamless communication, facilitates quick decision-making, and encourages spontaneous collaboration that contributes to the overall success of our projects. We value the synergy that comes from having our team members physically together, allowing for immediate problem-solving, idea exchange, and team building. Compensation The expected earnings for this role could be comprised of a base salary and other forms of cash compensation, such as bonus or commissions as applicable. This pay range is just one component of MX’s total rewards package. MX takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location, skillset, peer compensation. Please note applicants applying for this position must have the legal right to work in India without the need for sponsorship. We are unable to provide work sponsorship for this role, and candidates should be able to verify their eligibility to work in the country independently. Proof of eligibility to work in India will be required as part of the hiring process.

Job Title: Senior Python Developer AI/ML Document Automation Location: Hyderabad Work Mode: Hybrid Experience: 5+ Years Job Summary: We are looking for a highly skilled Senior Python Developer with deep expertise in AI/ML and document automation . The ideal candidate will lead the design and development of intelligent systems for extracting and processing structured and unstructured data from documents such as invoices, receipts, contracts, and PDFs. This role involves both hands-on coding and architectural contributions to scalable automation platforms. Roles and Responsibilities: Design and develop modular Python applications for document parsing and intelligent automation. Build and optimize ML/NLP pipelines for tasks like Named Entity Recognition (NER), classification, and layout-aware data extraction. Integrate rule-based and AI-driven techniques (e.g., regex, spaCy, PyMuPDF, Tesseract) to handle diverse document formats. Develop and deploy models via REST APIs using FastAPI or Flask, and containerize with Docker. Collaborate with cross-functional teams to define automation goals and data strategies. Conduct code reviews, mentor junior developers, and uphold best coding practices. Monitor model performance and implement feedback mechanisms for continuous improvement. Maintain thorough documentation of workflows, metrics, and architectural decisions. Mandatory Skills: Expert in Python (OOP, asynchronous programming, modular design). Strong foundation in machine learning algorithms and natural language processing techniques. Hands-on experience with Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers. Proficient in developing REST APIs using FastAPI or Flask. Experience in PDF/text extraction using PyMuPDF, Tesseract, or similar tools. Skilled in regex-based extraction and rule-based NER. Familiar with Git, Docker, and any major cloud platform (AWS, GCP, or Azure). Exposure to MLOps tools such as MLflow, Airflow, or LangChain. Show more Show less

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 libraries: scikit-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 Other Languages English: B2 Upper Intermediate Seniority Senior Gurugram, India Req. VR-116250 AI/ML BCM Industry 29/07/2025 Req. VR-116250

Manage Sales at the Hottest Club in Jaipur – Tesseract Sports Club Are you driven, confident, and hungry to create real results? Join Tesseract Sports Club , Jaipur’s most premium and dynamic fitness destination, offering Gym, Badminton, Turf, Swimming Pool, and an in-house Café – all under one roof! We’re looking for a Sales & Lead Management Executive who can take full ownership of our calling department , manage leads , follow up smartly, and convert interest into paid memberships . Responsibilities: Handle incoming and outgoing sales calls with confidence and clarity Manage and update lead pipelines with complete discipline Follow up consistently and close memberships across gym, coaching, and combos Coordinate with the reception and marketing team to ensure smooth execution of offers Maintain basic reporting of conversions, hot leads, follow-ups, and drop-offs Work closely with the manager to run special campaigns and push results Requirements: Prior experience in sales, telecalling , or lead generation preferred Strong communication in English & Hindi Confident, target-oriented, and self-motivated Comfortable with using CRM/Excel/WhatsApp for managing leads Must have a go-getter attitude with high discipline What You Get: Fixed salary + attractive performance incentives Exposure to Jaipur’s most premium and evolving sports club Opportunity to grow within our expanding business A workplace that values results, energy, and discipline Location : Tesseract Sports Club, Jaipur Job Type: Full-time Pay: ₹13,028.74 - ₹53,439.72 per month

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

Job Title: AI/ML Engineer Job Type: Freelance Job Role: Remote About the Project: We are hiring on behalf of one of our clients who is building an AI-powered estimating tool for the construction industry. This tool aims to streamline project estimation using OCR, AI models, and intuitive interfaces. Key Responsibilities: Integrate ChatGPT (OpenAI) API for contextual estimation logic Use Tesseract OCR and OpenCV for document/image processing Develop and manage APIs with FastAPI Manage data storage and queries with PostgreSQL Handle document uploads and storage using AWS S3 Collaborate with frontend/mobile developers for full-stack integration Must-Have Skills: Experience with ChatGPT / OpenAI API Strong knowledge of Tesseract OCR and OpenCV Proficiency in FastAPI , PostgreSQL , and AWS S3 Nice-to-Have Skills: Knowledge of Scikit-learn or LightGBM Familiarity with deployment tools like Vercel Exposure to React Native and Next.js

Job Title: Senior Python Developer – AI/ML Document Automation Location: Hyderabad Work Mode: Hybrid Experience: 5+ Years Job Summary: We are looking for a highly skilled Senior Python Developer with deep expertise in AI/ML and document automation . The ideal candidate will lead the design and development of intelligent systems for extracting and processing structured and unstructured data from documents such as invoices, receipts, contracts, and PDFs. This role involves both hands-on coding and architectural contributions to scalable automation platforms. Roles and Responsibilities: Design and develop modular Python applications for document parsing and intelligent automation. Build and optimize ML/NLP pipelines for tasks like Named Entity Recognition (NER), classification, and layout-aware data extraction. Integrate rule-based and AI-driven techniques (e.g., regex, spaCy, PyMuPDF, Tesseract) to handle diverse document formats. Develop and deploy models via REST APIs using FastAPI or Flask, and containerize with Docker. Collaborate with cross-functional teams to define automation goals and data strategies. Conduct code reviews, mentor junior developers, and uphold best coding practices. Monitor model performance and implement feedback mechanisms for continuous improvement. Maintain thorough documentation of workflows, metrics, and architectural decisions. Mandatory Skills: Expert in Python (OOP, asynchronous programming, modular design). Strong foundation in machine learning algorithms and natural language processing techniques. Hands-on experience with Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers. Proficient in developing REST APIs using FastAPI or Flask. Experience in PDF/text extraction using PyMuPDF, Tesseract, or similar tools. Skilled in regex-based extraction and rule-based NER. Familiar with Git, Docker, and any major cloud platform (AWS, GCP, or Azure). Exposure to MLOps tools such as MLflow, Airflow, or LangChain.

Job Title: Senior Python Developer – AI/ML Document Automation Location: Hyderabad Work Mode: Hybrid Experience: 5+ Years Job Summary: We are looking for a highly skilled Senior Python Developer with deep expertise in AI/ML and document automation . The ideal candidate will lead the design and development of intelligent systems for extracting and processing structured and unstructured data from documents such as invoices, receipts, contracts, and PDFs. This role involves both hands-on coding and architectural contributions to scalable automation platforms. Roles and Responsibilities: Design and develop modular Python applications for document parsing and intelligent automation. Build and optimize ML/NLP pipelines for tasks like Named Entity Recognition (NER), classification, and layout-aware data extraction. Integrate rule-based and AI-driven techniques (e.g., regex, spaCy, PyMuPDF, Tesseract) to handle diverse document formats. Develop and deploy models via REST APIs using FastAPI or Flask, and containerize with Docker. Collaborate with cross-functional teams to define automation goals and data strategies. Conduct code reviews, mentor junior developers, and uphold best coding practices. Monitor model performance and implement feedback mechanisms for continuous improvement. Maintain thorough documentation of workflows, metrics, and architectural decisions. Mandatory Skills: Expert in Python (OOP, asynchronous programming, modular design). Strong foundation in machine learning algorithms and natural language processing techniques. Hands-on experience with Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers. Proficient in developing REST APIs using FastAPI or Flask. Experience in PDF/text extraction using PyMuPDF, Tesseract, or similar tools. Skilled in regex-based extraction and rule-based NER. Familiar with Git, Docker, and any major cloud platform (AWS, GCP, or Azure). Exposure to MLOps tools such as MLflow, Airflow, or LangChain. Job Type: Full-time Pay: ₹800,000.00 - ₹1,400,000.00 per year Benefits: Provident Fund Schedule: Day shift Monday to Friday Application Question(s): Are you an immediate Joiner? Experience: Python : 2 years (Required) AI/ML: 2 years (Required) NLP: 1 year (Required) Location: Hyderabad, Telangana (Required) Work Location: In person

Position: AI/ML Lead (Associate Director Level) Experience: 12+ years Mode: Hybrid Salary: Upto 75 LPA We are looking for hiring a AI/ML Lead for one of our well established MNC Client Proficiency in understanding pulling structured and unstructured data from legacy systems to create a data architecture that can drive AI/ML efforts. Ability to engage actively with internal stakeholders, helping them understand the intricacies of AI/ML solutions and factors involved in successful execution. Ability to leverage latest AI offerings (ChatGPT, GPT 4, CoPilots, Tesseract OCR, OCR with CNN) from Microsoft, AWS, IBM and other providers to deliver solutions specific to the business interests Deep hands-on understanding of OCR and BI technologies Proven track record in thought leadership, particularly in IT modernization and innovation, to expedite immigration benefits and solve business problems. Solution Architect mindset, adept in planning data usage for delivering outcomes through multiple applications and continuously improving AI & ML models. Essential Qualifications: 12+ years in IT with a focus on enterprise data architecture, ML, and BI 5+ years leading data teams around enterprise scale AI/ML or RPA efforts 3+ years hands-on experience leading teams on use of deep learning frameworks (e.g. Tensorflow or PyTorch) Experience with Prompt Engineering for conversational AI Proficiency in managing big data and distributed computing environments (e.g., Databricks, Spark, Dask). Proven experience in leveraging LLMs for analytics and decision making Highly proficient in AWS or Azure data processing (e.g., EC2, S3, Redshift). Hands-on leadership of Bachelor's degree in Data Science, Statistics, Computer Science, IT Management, Engineering, or similar. Bonus Qualifications: Expertise in Advanced AI Domains: Proficiency in areas such as Natural Language Processing (NLP), OCR with CNN, and AGI showcasing a broad and deep understanding of AI technologies. Client Engagement and Collaboration: Excellent skills in engaging with clients, coupled with a strong ability to collaborate on new ideas and concepts, indicating both interpersonal and creative capabilities. Innovation and Team Leadership: Experience in creating and implementing innovative roadmaps and aligning teams for efficient delivery, reflecting leadership and strategic planning abilities. Data Process Management: Demonstrated expertise in managing and moving data through various processes, ensuring accountability for outcomes, emphasizing operational and execution skills. Work Ethic and Team Spirit: An independent worker who embodies a strong work ethic and team spirit, ensuring a balance between autonomy and collaboration.

Job Title: AI Developer – Computer Vision & ML Location: Coimbatore Company: Vpm Info Tech Experience: 1-3 years (Freshers with strong project portfolios may apply) Employment Type: Full-Time Job Description: We are seeking a skilled AI Developer with hands-on experience in computer vision and machine learning to develop intelligent surveillance systems. The role involves implementing and optimizing modules such as face detection for attendance , vehicle and number plate recognition , people counting , and motion detection using modern AI frameworks and libraries. Key Responsibilities: Face Detection + Attendance System: Build real-time face recognition systems using OpenCV, face_recognition, dlib, and manage attendance logs with SQLite3. Vehicle Detection + Number Plate Recognition: Develop vehicle detection and number plate OCR using Ultralytics (YOLOv8), EasyOCR, PyTesseract, OpenCV, and store data in MySQL. People Counting System: Implement people counting with tracking using YOLOv8, Deep SORT, Flask, OpenCV, and NumPy.Create motion detection modules using OpenCV, imutils, and NumPy.Integrate Google Cloud Vision API and custom OCR logic for advanced document/image analysis. Motion Detection: Cloud & OCR Integration: Collaborate with the backend team to ensure smooth data flow and API integrations. Optimize models and pipelines for real-time edge deployment (Raspberry Pi, Jetson Nano preferred). Required Skills: Proficiency in Python with libraries like OpenCV, NumPy, Flask, imutils, and threading. Experience with deep learning frameworks: Ultralytics YOLO, face_recognition, dlib. OCR tools: EasyOCR, Tesseract, Google Cloud Vision API. Databases: SQLite3, MySQL. Strong understanding of computer vision algorithms and real-time video processing. Preferred Qualifications: B.E/B.Tech/M.Sc in Computer Science, AI, Data Science, or related field. Knowledge of Docker, Git, and RESTful API design. Job Type: Full-time Pay: ₹15,000.00 - ₹35,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

Job Title: Python Intern – Django / Odoo / AI Frameworks Location: Ahmedabad, Gujarat, India (Work from Office) Duration: 6 Months Stipend: ₹3,000 per month Certificate: Internship Certificate upon Successful Completion Apply Link : https://tesseracttechnolabs.com/joblist/1 About Tesseract Technolabs: Tesseract Technolabs is a leading provider of AI, Machine Learning, Data Science, and Process Automation solutions. We specialize in custom Python development, enterprise applications, and smart automation systems tailored to business needs. Our mission is to leverage cutting-edge technologies to deliver impactful and responsible AI-driven solutions. Internship Overview: We are looking for a passionate and motivated Python Intern to join our team. This internship offers hands-on experience in working with real-world projects involving Django, Odoo ERP, and AI frameworks . You’ll collaborate with our experienced developers, learn industry best practices, and contribute to meaningful software development initiatives. Key Responsibilities: Assist in the development and maintenance of web applications using Django. Support in customizing and implementing Odoo modules. Contribute to basic AI/ML projects under guidance. Write clean, efficient, and reusable Python code. Participate in team meetings, code reviews, and project discussions. Debug and troubleshoot technical issues as they arise. Required Skills: Basic understanding of Python programming. Familiarity with Django framework or Odoo ERP is a plus. Interest in AI/ML concepts and tools (like scikit-learn, TensorFlow, etc.). Willingness to learn, adapt, and contribute proactively. Strong logical thinking and problem-solving ability. Eligibility: Final year students or recent graduates in Computer Science, IT, or related fields. Must be available for full-time work from our office in Ahmedabad for the entire duration of the internship. What You Will Gain: Practical experience in Python development with industry-grade tools and frameworks. Exposure to ERP systems (Odoo) and AI projects. Mentorship from experienced developers and data scientists. Certificate of Completion recognizing your contributions and learning.

Position: AI Engineer (Python, LLMs, Vector Databases, OCR, Image Generation) Location: Remote (Delhi or Bengaluru) About our Company We are an advanced Learning Management System (LMS) and authoring tool provider, built to meet the diverse training and organizational needs of businesses across industries. Operating under LM Solutions India Pvt. Ltd. we are part of SVI, a leading learning solutions provider headquartered in Texas, USA . With over 20 years of experience, we have established strong partnerships with clients in consulting, healthcare, retail, banking, aviation, and more. Our small but growing team of skilled professionals works closely with global clients to create engaging learning experiences and implement effective talent development strategies that drive real business outcomes. We are also at the forefront of integrating AI into learning solutions. Our technology stack is built on Python, leveraging LlamaIndex to power our retrieval-augmented generation (RAG) pipelines with OpenAI and other large language models (LLMs). We work extensively with vector databases, optical character recognition (OCR) tools, and AI-driven image generation to transform document-based content into structured, interactive micro-learning experiences. While we don’t host or train our own AI models, we focus on seamlessly integrating best-in-class AI services into our workflows. As we continue to scale, we are seeking passionate individuals to help us enhance and expand our AI-powered capabilities. Role & Responsibilities · Enhance and optimize our RAG pipeline, integrating various LLMs via Open AI and other providers. · Work with vector databases (e.g., Pinecone, FAISS, We aviate, Milvus) to store and retrieve embeddings efficiently. · Implement OCR solutions to extract text from images (e.g., Tesseract, Azure/AWS OCR, Google Vision). · Integrate image generation models (e.g., Stable Diffusion, Open AI DALL·E) into our content pipeline. · Improve document parsing and content structuring using LlamaIndex. · Work within a cloud-based AI infrastructure (no on-prem hosting). · Collaborate with our product team to create AI-enhanced interactive learning experiences. · Ensure performance, scalability, and security of AI-driven workflows. Requirements · Proficiency in Python and experience with AI/ML libraries (e.g., llama-index, langchain, transformers). · Hands-on experience with vector databases for similarity search. · Strong background in OCR technologies (e.g., Tesseract, AWS Textract, Google Vision, OpenCV). · Familiarity with image generation models (e.g., OpenAI DALL·E, Stability AI). · Experience integrating LLMs via APIs (Open AI, Anthropic, etc.). · Comfortable working with cloud-based AI services (AWS, Azure, GCP). · Strong problem-solving skills and the ability to work independently. Nice-to-Have · Experience with document processing pipelines (e.g., PDFs, Word documents). · Background in AI-powered content recommendation or learning platforms. · Familiarity with serverless architectures (e.g., AWS Lambda, Azure Functions).

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. We are looking for an experienced AI Developer with proficiency in Python, Generative AI (GenAI) incorporating Retrieval-Augmented Generation (RAG), Robotic Process Automation (RPA), and advanced document intelligence utilizing OCR and LLMs. In this role, you will be responsible for developing AI-driven solutions that extract valuable insights from intricate documents, whether digital or scanned, by utilizing tools such as Tesseract, Hugging Face Transformers, or similar technologies. Your primary focus will be on creating end-to-end automation and AI integration for intelligent document processing, enhancing decision-making capabilities and optimizing workflow efficiencies throughout the organization. Key Responsibilities: - Develop and implement GenAI solutions with RAG pipelines to facilitate intelligent querying and summarization of document repositories. - Extract and organize data from complex documents (e.g., PDFs, Images) using a combination of OCR engines (e.g., Tesseract) and AI-based document and vision language models (DiNO, SmolVLM, etc.). - Incorporate OCR+LLM pipelines into business applications for processing scanned forms, contracts, and other unstructured documents. - Automate repetitive, document-centric tasks using RPA tools (e.g., Blue Prism, etc.). - Design and manage Python-based workflows to coordinate document ingestion, extraction, and LLM-powered processing. - Collaborate across various teams including product, data, and operations to deliver scalable, AI-enhanced document automation solutions. - Ensure model performance, compliance, and audit readiness for all document-handling workflows. Required Qualifications: - Minimum of 4 years of hands-on programming experience with Python. - Demonstrated expertise in building RAG-based GenAI applications using tools like LangChain, LlamaIndex, or equivalent. - Proficiency in OCR tools (e.g., Tesseract, PaddleOCR) and transformer-based document models. - Experience working with LLMs for document understanding, summarization, and Q&A. - Proficient in RPA development utilizing platforms like Blueprism, etc. - Knowledge of vector databases (e.g., FAISS, Pinecone) and embeddings for semantic retrieval. - Strong understanding of REST APIs, JSON, and data integration workflows. Please note that unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.,

Job Title: Manager – Health & Fitness (Premium Club & Gym) Location: Tesseract Sports Club Job Type: Full-Time Experience Required: Minimum 3-5 years in Hospitality / Health & Fitness Management About Us: We are a premium sports and wellness club that combines luxury with top-tier fitness and hospitality. Our state-of-the-art facility includes a premium gym, badminton courts, swimming pool, football turf, and dedicated spaces for classes, coaching, and wellness programs. In addition to individual and family memberships, we specialize in organizing high-end corporate events and tournaments. Job Description: We are seeking a highly professional and experienced Manager to oversee our Health & Fitness operations. The ideal candidate will have a strong background in hospitality and fitness, with the ability to manage staff, delight members, and ensure the smooth functioning of our gym, club, and wellness services. Key Responsibilities: Lead and manage daily operations of the gym and club facilities (badminton, swimming, turf, etc.) Supervise front desk, trainers, coaches, and support staff Ensure exceptional customer service and member satisfaction Monitor and optimize memberships, coaching programs, and hourly usage plans Drive sales and promotions with a strategic mindset Oversee corporate event execution and coordination Maintain high standards of cleanliness, safety, and professionalism Report KPIs and work closely with ownership to meet business goals Requirements: Proven experience in managing health clubs, premium gyms, or hospitality setups Strong communication, leadership, and organizational skills Deep understanding of fitness trends, client engagement, and operations Ability to handle high-pressure situations and resolve client concerns tactfully Knowledge of CRM, scheduling systems, and fitness tools is a plus Salary & Benefits: Competitive salary + Incentives / Commission based on performance Opportunities for growth within a rapidly expanding premium club brand Dynamic and high-energy work environment Job Type: Full-time Pay: ₹15,682.92 - ₹30,000.00 per month Expected Start Date: 21/07/2025

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Job Description Job Summary: We are seeking an experienced AI Developer with expertise in Python , Generative AI (GenAI) with Retrieval-Augmented Generation (RAG) , Robotic Process Automation (RPA) , and advanced document intelligence using OCR and LLMs . This role involves designing AI-powered solutions that extract meaningful insights from complex documents—both digital and scanned—using tools like Tesseract, Hugging Face Transformers or similar. You will work on end-to-end automation and AI integration for intelligent document processing, enabling smarter decisions and workflow efficiencies across the organization. Key Responsibilities: Build and deploy GenAI solutions with RAG pipelines to enable intelligent querying and summarization over document repositories. Extract and structure data from complex documents (PDFs, Images etc) using a combination of OCR engines (e.g., Tesseract) and AI-based document and vision language models(DiNO, SmolVLM etc). Integrate OCR+LLM pipelines into business applications to process scanned forms, contracts, and other unstructured documents. Automate repetitive, document-intensive tasks using RPA tools (e.g., Blue Prism etc). Design and maintain Python-based workflows to orchestrate document ingestion, extraction, and LLM-powered processing. Work cross-functionally with product, data, and operations teams to deliver scalable, AI-enhanced document automation solutions. Ensure model performance, compliance, and audit readiness for all document-handling workflows. Required Qualifications: 4+ years of hands-on programming experience with Python. Strong experience building RAG-based GenAI applications using tools like LangChain, LlamaIndex, or equivalent. Proficient in OCR tools (e.g., Tesseract, PaddleOCR) and transformer-based document models. Experience working with LLMs for document understanding, summarization, and Q&A. Proficiency in RPA development using platforms like Blueprism etc. Knowledge of vector databases (e.g., FAISS, Pinecone) and embeddings for semantic retrieval. Strong understanding of REST APIs, JSON, and data integration workflows. Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

Dear Candidate We are seeking a highly skilled and motivated Senior Software Developer to join our dynamic team. The ideal candidate will have expertise in Python development , PyQt , and Optical Character Recognition (OCR) technologies. You will play a key role in enhancing user test writing workflow with a custom Python Automated Testing Framework. Key Responsibilities: Enhance custom Python based test automation application with new functionality. Improve application UI and user workflow based on feedback from tool users. Optimize performance and accuracy of OCR functionality for various languages. Write clean, maintainable, and well-documented code following best practices. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in software development with a strong focus on Python. Proven experience with Qt (PyQt or PySide) for developing desktop applications. Hands-on experience with OCR technologies and libraries. Strong understanding of image processing and computer vision concepts. Familiarity with version control systems (e.g., Git). Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Preferred Qualifications: Experience with the following Python libraries: PyQt, OpenCV, Pillow, Pyinstaller. Experience with the following technologies: Tesseract OCR, ZeroMQ Messaging

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. Our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have onboarded more than 17000 enterprises, 6200 investors, and lenders and facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story. Requirements Key Responsibilities: Lead and mentor a dynamic Data Science team in developing scalable, reusable tools and capabilities to advance machine learning models, specializing in computer vision, natural language processing, API development and Product building. Drive innovative solutions for complex CV-NLP challenges, including tasks like image classification, data extraction, text classification, and summarization, leveraging a diverse set of data inputs such as images, documents, and text. Collaborate with cross-functional teams, including DevOps and Data Engineering, to design and implement efficient ML pipelines that facilitate seamless model integration and deployment in production environments. Spearhead the optimization of the model development lifecycle, focusing on scalability for training and production scoring to manage significant data volumes and user traffic. Implement cutting-edge technologies and techniques to enhance model training throughput and response times. Required Experience & Expertise: 3+ years of experience in developing computer vision models and applications. Extensive knowledge and experience in Data Science and Machine Learning techniques, with a proven track record in leading and executing complex projects. Deep understanding of the entire ML model development lifecycle, including design, development, training, testing/evaluation, and deployment, with the ability to guide best practices. Expertise in writing high-quality, reusable code for various stages of model development, including training, testing, and deployment. Advanced proficiency in Python programming, with extensive experience in ML frameworks such as Scikit-learn, TensorFlow, and Keras and API development frameworks such as Django, Fast API. Demonstrated success in overcoming OCR challenges using advanced methodologies and libraries like Tesseract, Keras-OCR, EasyOCR, etc. Proven experience in architecting reusable APIs to integrate OCR capabilities across diverse applications and use cases. Proficiency with public cloud OCR services like AWS Textract, GCP Vision, and Document AI. History of integrating OCR solutions into production systems for efficient text extraction from various media, including images and PDFs. Comprehensive understanding of convolutional neural networks (CNNs) and hands-on experience with deep learning models, such as YOLO. Strong capability to prototype, evaluate, and implement state-of-the-art ML advancements, particularly in OCR and CV-NLP. Extensive experience in NLP tasks, such as Named Entity Recognition (NER), text classification, and on finetuning of Large Language Models (LLMs). This senior role is tailored for visionary professionals eager to push the boundaries of CV-NLP and drive impactful data-driven innovations using both well-established methods and the latest technological advancements. Benefits We are committed to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.

About the Company We are looking for a highly skilled and innovative AI Engineer to join our team in Hyderabad. This role focuses on designing and building agentic AI systems using Large Language Models (LLMs) and advanced reasoning frameworks. The ideal candidate will have a strong background in Python, Prompt Engineering, and RAG (Retrieval-Augmented Generation) architectures, with the ability to apply these technologies in real-world banking use cases. About the Role This role focuses on designing and building agentic AI systems using Large Language Models (LLMs) and advanced reasoning frameworks. Responsibilities Design, build, and deploy intelligent AI systems that can reason, plan, and act autonomously. Implement RAG pipelines leveraging vector databases (e.g., FAISS, Chroma, Pinecone) for knowledge retrieval. Develop prompts, few-shot examples, and context-aware workflows to improve LLM performance. Use agentic AI frameworks like LangChain, LangGraph, or AutoGen to orchestrate multi-step interactions. Build scalable pipelines for document processing, OCR, and computer vision-based analysis. Integrate AI solutions with banking workflows (e.g., KYC, fraud detection, claims processing). Collaborate with cross-functional teams to understand business needs and deliver robust AI-powered solutions. Ensure secure, scalable deployment of solutions on Azure Cloud using best DevOps practices. Qualifications 8+ Years (6+ Years Relevant in AI/ML) Domain: Banking Job Type: Full-time Work Location: Based on Panelists + Account POCs availability Required Skills Python Programming (advanced proficiency) LLMs (OpenAI, Claude, Mistral, etc.) Prompt Engineering (few-shot, CoT, tool use) Vector Databases (FAISS, Pinecone, Chroma, etc.) RAG Architecture implementation Agentic AI Libraries: LangChain, LangGraph, or AutoGen Document Processing & OCR (e.g., Tesseract, Azure Form Recognizer) Computer Vision (OpenCV, LayoutLM, Vision Transformers) Preferred Skills Cloud Platforms: Azure, Azure OpenAI, Azure Functions API Development: FastAPI, RESTful services Containerization: Docker Monitoring Tools: Prometheus, ELK Stack Experience in the Banking/Financial Services domain

Job Title: AI Developer Location: Chandigarh, India Department: Product & Innovation Reports To: Product Director Job Type: Full-Time About Us: TRUQUANTUM IT is a Global Leading Organization dedicated to leveraging cutting-edge technology to drive business innovation and growth. We're architects of online experiences, innovators in the digital landscape, and partners in our clients' success stories. Our journey began with a simple yet powerful vision — to transform businesses through strategic and creative digital solutions. At TRUQUANTUM IT , we pride ourselves on a holistic approach to digital excellence. We don't just create websites or run marketing campaigns; we craft immersive digital journeys that resonate with audiences. From the inception of an idea to its execution, we bring together a team of passionate professionals who thrive on pushing boundaries and challenging the status quo. Our global team comprises of industry experts hailing from Canada and APAC realms including India and Indonesia having creative and innovative minds. We are tech-savvy enthusiasts and bring a wealth of intelligence and expertise to the table. Whether it's web development, design, digital marketing, or emerging technologies, we're here to navigate the complexities and deliver solutions that make a lasting impact. Position Overview: We are looking for an AI Developer to help integrate AI-driven features into MaxelTracker, our employee efficiency enhancement tool . The ideal candidate should be experienced in machine learning (ML), large language models (LLMs) like ChatGPT, and computer vision to analyze user activity, derive insights from screenshots, automate reporting, and develop intelligent recommendations to enhance productivity. Job Location and Address: This requirement is Full Time and working from the office only. No Hybrid or Remote is available. The Incumbent is required to work in the following location: Plot No E 275, Industrial Area, Sector 75, Sahibzada Ajit Singh Nagar, Punjab 160071 Responsibilities: Develop ML models to classify user activities and measure productivity. Implement OCR-based AI models to extract insights from captured screenshots. Leverage ChatGPT (LLMs) for AI-driven recommendations and reports . Build AI-powered automation for productivity tracking and workflow optimization. Integrate AI-driven anomaly detection to flag non-productive or suspicious activities. Design and optimize AI models for real-time processing and insights generation. Work with the backend team to deploy AI models in a scalable manner. Maintain code quality and implement AI testing frameworks . Requirements: Technical Skills: Strong proficiency in Python, TensorFlow, PyTorch, OpenCV, and LangChain . Experience with ChatGPT, LLMs, and AI-based conversational interfaces . Knowledge of OCR technologies (Tesseract, Google Vision API) and NLP . Familiarity with cloud-based AI deployments (AWS, Azure, GCP) . Experience in data processing, time-series analysis, and feature engineering . Strong understanding of REST APIs and AI model integration . Experience in real-time AI model optimization and inference . Soft Skills: Ability to troubleshoot AI models and debug performance issues . Strong analytical and problem-solving skills. Effective communication and collaboration with cross-functional teams . What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and innovative work environment.