4 Content Extraction Jobs

As a Data Engineer with expertise in Robotic Process Automation (RPA) and Artificial Intelligence/Machine Learning (AI/ML), you will play a crucial role in designing, implementing, and maintaining data pipelines, workflows, and automation solutions at Sundew, a leading digital transformation company. With a 17-year legacy of excellence, Sundew focuses on helping businesses leverage data-driven insights to drive innovation and optimize operations. In this role, you will be responsible for developing and fine-tuning LLM models with a focus on RAG (Retrieval-Augmented Generation) and implementing content extraction methods to enhance the accuracy and relevance of generated responses. Collaboration with cross-functional teams to address LLM development and deployment challenges will also be a key aspect of your responsibilities. Your role will involve staying updated with the latest advancements in natural language processing (NLP) and machine learning research, providing technical guidance and mentorship to junior team members, and contributing to documenting best practices in LLM development and deployment. Additionally, you will implement RPA solutions to automate repetitive tasks, collaborate with data scientists and business analysts to translate data requirements into technical solutions, and monitor and optimize data workflows for scalability and reliability. The ideal candidate should hold a Bachelor's or higher degree in Computer Science, Engineering, or a related field, with proven experience in developing LLM models, preferably focusing on RAG. Hands-on experience with RPA tools like UiPath, Automation Anywhere, or Blue Prism, as well as strong proficiency in Python programming and knowledge of relevant libraries/frameworks such as TensorFlow, PyTorch, and scikit-learn, are essential. Additionally, a solid understanding of NLP fundamentals, machine learning principles, and content extraction techniques like Named Entity Recognition (NER) and text summarization is required. Furthermore, experience with cloud platforms (AWS, Azure, Google Cloud), prior knowledge in implementing RPA and AI/ML methods, certifications in RPA or AI/ML technologies, and contributions to open-source projects related to NLP or ML are preferred qualifications. Strong problem-solving skills, effective communication abilities, and the capacity to work collaboratively in a team environment are also key attributes for success in this role. If you are interested in this position, please submit your resume and a cover letter detailing your relevant experience and how you meet the specified requirements. Sundew is an equal opportunity employer, and candidates from all backgrounds are encouraged to apply.,

You are a Data Engineer with 3+ years of experience, specializing in Robotic Process Automation (RPA) and Artificial Intelligence/Machine Learning (AI/ML). Joining Sundew, a digital transformation company, you will be instrumental in designing, implementing, and maintaining data pipelines, workflows, and automation solutions. Your responsibilities will include developing and optimizing LLM models utilizing cutting-edge techniques like RAG (Retrieval-Augmented Generation) and implementing content extraction methods to enhance response accuracy. Collaborating with cross-functional teams, you will address challenges in LLM development and deployment, staying abreast of NLP and ML research advancements. Providing technical guidance to junior members, you will document best practices, automate tasks with RPA solutions, and collaborate with data scientists and analysts to translate data requirements into technical solutions. Monitoring performance, troubleshooting issues, and optimizing data workflows will be key for scalability and reliability. Prior experience with RPA tools, Python programming, NLP fundamentals, and machine learning principles is essential. To excel in this role, you should possess a Bachelor's or higher degree in Computer Science, Engineering, or a related field, along with proven experience in developing LLM models with a focus on RAG. Proficiency in Python programming, RPA tools like UiPath, Automation Anywhere, and knowledge of libraries/frameworks such as TensorFlow, PyTorch, and scikit-learn is crucial. Strong problem-solving skills, effective communication, and the ability to work collaboratively are essential. Preferred qualifications include experience with cloud platforms, certification in RPA or AI/ML technologies, contributions to open-source projects, and knowledge of big data technologies. If you meet these requirements and are excited about this opportunity, please submit your resume and a cover letter elaborating on your relevant experience. Sundew is an equal opportunity employer, welcoming candidates from all backgrounds to apply.,

Sundew is a leading digital transformation company with a 17-year legacy of excellence that helps businesses leverage data-driven insights to drive innovation and optimize operations. We are seeking a talented Data Engineer with expertise in Robotic Process Automation (RPA) and Artificial Intelligence/Machine Learning (AI/ML) to join our dynamic team. As a Data Engineer with RPA and AI/ML expertise, you will play a crucial role in designing, implementing, and maintaining data pipelines, workflows, and automation solutions. Your responsibilities will include developing and fine-tuning LLM models with expertise in RAG (Retrieval-Augmented Generation), content extraction, and familiarity with the concept of local LLMs. Additionally, you will collaborate closely with our Data Engineering team to innovate and optimize LLM models and work with cross-functional teams to integrate RPA infrastructure, enabling clients to automate existing processes. Role & Responsibilities - Develop and optimize LLM models using state-of-the-art techniques, focusing on RAG (Retrieval-Augmented Generation). - Implement content extraction methods to enhance the accuracy and relevance of generated responses. - Collaborate with cross-functional teams to identify and address LLM development and deployment challenges. - Stay updated with the latest advancements in natural language processing (NLP) and machine learning research. - Provide technical guidance and mentorship to junior team members. - Contribute to documenting and disseminating best practices in LLM development and deployment. - Implement RPA solutions to automate repetitive tasks and improve operational efficiency. - Collaborate with data scientists and business analysts to understand data requirements and translate them into technical solutions. - Monitor performance, troubleshoot issues, and optimize data workflows for scalability and reliability. - Stay up-to-date with the latest trends and technologies in data engineering, RPA, and AI/ML. Required Skill Sets - Bachelor's or higher degree in Computer Science, Engineering, or a related field. - Proven experience in developing and fine-tuning LLM models, preferably with a focus on RAG. - Hands-on experience with RPA tools such as UiPath, Automation Anywhere, Blue Prism, Power Automate. - Strong proficiency in Python programming and familiarity with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn. - Solid understanding of natural language processing (NLP) fundamentals and machine learning principles. - Experience with content extraction techniques such as Named Entity Recognition (NER), text summarization, and information retrieval. - Familiarity with the concept of local LLMs and their applications in specific domains or languages. - Excellent problem-solving skills and the ability to work effectively in a collaborative team environment. - Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications - Experience with cloud platforms such as AWS, Azure, or Google Cloud. - Prior working knowledge in implementing RPA and AI/ML Methods. - Certification in RPA or AI/ML technologies. - Contributions to open-source projects related to natural language processing or machine learning. - Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka). How To Apply Interested candidates should submit their resume and a cover letter detailing their relevant experience and explaining how they meet the specified requirements. Sundew is an equal opportunity employer. We encourage candidates of all backgrounds to apply.,

We are seeking a skilled Python TechLead with a strong interest in artificial intelligence and machine learning. Position Python/ML developer Tech Lead ( IMMEDIATE JOINERS PREFERRED) Experience 5 + years No of positions 1 Location Chennai, India Key Skills & Responsibilities Key Skills: Python, Python Flask, NLP (Content extraction), Pandas, OCR, Deep Learning, OpenCV, Tesseract, Computer Vision (Image Processing), TensorFlow, PyTorch, Keras, Scikit- learn, Paddle, ML, ML Algorithms, Neural Networks (CNN), Git, CI/CD, Cloud Experience (Any) Must Have Skills: Proficiency in Python programming language. Minimum 4+ years of hands-on experience in python and ML Strong background in machine learning algorithms and frameworks. Understand the requirements and objectives of the assigned projects Recommend appropriate approaches and technologies to deploy to achieve the objectives Iterate the development process to improve effectiveness of the models Implement parallel processing and other techniques to enhance processing speed Deep understanding of data extraction with Computer Vision and Deep learning libraries Excellent problem solving and analytical skills Ability to understand project requirements and objectives, and translate them into actionable development tasks Effective communication with stakeholders to provide technical insights and project updates Ability to lead and mentor a team of developers, ensuring adherence to best practices and coding standards Strong project management skills, including task prioritization, resource planning, and risk management Nice To Have Skills: Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with natural language processing (NLP) techniques. Previous work on computer vision projects Demonstrated experience and success in computer vision and text extraction projects