14 Text Processing Jobs

As a General AI Engineer at Nallas, a software services and product company, you will be responsible for developing, implementing, and maintaining advanced AI systems to drive innovation and solve complex problems. Collaborating with cross-functional teams, your role will involve designing and deploying AI solutions that enhance products and services, pushing the boundaries of what AI can achieve. Your role will require expertise in Python, Data Structures, and API Calls, providing a solid foundation for working with generative AI models and frameworks. Strong communication skills, both in documentation and presentations, will be essential for effectively conveying complex technical concepts to technical and non-technical audiences. In addition, you will need to excel in teamwork and solo work, collaborating on large projects while independently driving research and development efforts. Proficiency in data mining and text processing to extract valuable insights from various data sources for training and improving generative models will be crucial. Experience with building RAG Pipelines is highly desired, showcasing your ability to construct retrieval-augmented generation pipelines, a key technique in generative AI. Your expertise should also cover Machine Learning (ML), Natural Language Processing (NLP), Generative Adversarial Networks (GANs), Transformers & BERT flavors, Hugging Face Model Implementation, and Fine-Tuning, with a solid understanding of these core concepts for generative AI development. Hands-on experience with Vector Databases such as Chroma DB, PineCone, Milvus, FAISS, Arango DB for data storage and retrieval relevant to generative AI projects is expected. Collaboration skills are essential to work effectively with Business Analysts (BAs), Development Teams, and DevOps teams to bring generative AI solutions to fruition. Familiarity with deploying generative models on resource-constrained devices, like the Open AI Ada Embedding 002 model, can be advantageous. Proficiency with POC Tools like Streamlit and Gradio is required for rapid prototyping and showcasing generative AI concepts. Cloud experience, particularly with AWS Bedrock or similar platforms, is crucial for managing and deploying large-scale generative AI models. Basic knowledge of cloud services like EC2, ECS, ECR, S3, and Sagemaker is expected. Moreover, expertise in specific LLMs (such as OpenAI, Jurassic-1 Jumbo, LLAMA, mistral, Mixtral, Gemma, Gemini Pro) may be necessary based on the project focus. Your adeptness in these areas will contribute to the successful development and deployment of generative AI solutions at Nallas. If you are passionate about working on cutting-edge technologies and eager to advance your career in AI and ML, this role at Nallas presents an exciting opportunity for your personal and professional growth. For further consideration, you may share your resume with karthicc@nallas.com.,

As an NLP Engineer at Tiger Analytics, you will have the opportunity to work on cutting-edge AI and analytics projects to help Fortune 1000 companies overcome their toughest challenges. You will be part of a global team of technologists and consultants dedicated to empowering businesses to achieve real outcomes and value at scale. Your role will involve collaborating with experienced team members on internal product development and client-focused projects, with a focus on the pharma domain. You will play a key role in designing, developing, and deploying GenAI solutions, with a particular emphasis on addressing challenges like hallucinations, bias, and latency. Your day-to-day responsibilities will include supporting the full lifecycle of AI project delivery, fine-tuning Large Language Models (LLMs) for specific business needs, and developing scalable pipelines for AI model deployment. You will also have the opportunity to collaborate with internal teams and external stakeholders, particularly in the pharma space, to understand business requirements and contribute to the development of tailored AI-powered systems. Additionally, you will actively participate in a collaborative environment, sharing ideas and working as part of a dynamic team of data scientists and AI engineers. To be successful in this role, you should have 7-9 years of experience in NLP, AI/ML, or data science, with a proven track record of delivering production-grade NLP & GenAI solutions. You should have deep expertise in LLMs, transformer architectures, and fine-tuning techniques, as well as strong knowledge of NLP pipelines, text preprocessing, embeddings, and named entity recognition. Experience with Agentic AI systems, LLM observability tools, and AI safety guardrails is also essential. Proficiency in Python and backend development, familiarity with MLOps and cloud platforms, and prior experience in regulated industries like life sciences or pharma are all advantageous. A problem-solving mindset, the ability to work independently, drive innovation, and mentor junior engineers are key qualities we are looking for in candidates. The compensation package for this role will be commensurate with your expertise and experience, and you will also have access to additional benefits such as health insurance, a virtual wellness platform, and knowledge communities.,

As an ideal candidate for the position, you should possess 1 to 2 years of experience and hold a Bachelor's degree in Computer Science, B.Tech in IT or CSE, MCA, MSc IT, or any related field. The work mode is onsite, and the shift timings are from 12 PM to 10 PM (Afternoon Shift). Your primary responsibilities will include designing and implementing complex algorithms for critical functionalities, conducting system analysis, design, and documentation tasks, obtaining performance metrics of applications to optimize efficiency, managing project milestones and deadlines efficiently, developing highly scalable, multi-threaded applications, ensuring code quality through unit testing, and maintaining high standards of code documentation and structure. Additionally, you will be expected to utilize tools and techniques for detecting and resolving memory leaks, including heap dumps and thread dump analysis for debugging and performance optimization. In terms of technical background, you should have a strong understanding of Java, web services, and Design Patterns. Your expertise should extend to code optimization and performance improvement, with knowledge of tools like Java/Mysql Profiler for profiling and optimization. You must possess the ability to debug, identify problems, determine root causes, and apply effective solutions to resolve issues. Experience in writing unit tests using tools like JUnit, Mockito, or TestNG is essential for ensuring code reliability and correctness. Familiarity with tools for memory leak analysis, heap dumps, and thread dump analysis is crucial for troubleshooting performance bottlenecks. Moreover, your skill set should include proficiency in Regular Expressions, Solr, ElasticSearch, NLP, Text Processing, or any ML libraries. Being a fast learner with exceptional problem-solving and troubleshooting abilities is highly desirable for this role.,

Join the leader in entertainment innovation and help design the future at Dolby, where science meets art and high tech goes beyond computer code. As a member of the Dolby team, you will witness the impact of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment globally. To achieve this, Dolby seeks top talent. The company is large enough to provide all necessary resources yet small enough for you to make a significant difference and receive recognition for your contributions. Enjoy a collegial culture, stimulating projects, competitive compensation, and benefits, along with a truly flexible Flex Work approach supporting your best work environment, schedule, and methods. Dolby's research division is seeking a researcher to join efforts in developing the next generation of AI-based multimodal technologies. The successful candidate will collaborate with Dolby's esteemed audio and vision experts to innovate multimedia analysis, processing, and rendering technologies for enhanced interactive and immersive experiences. As a part of an international team, you will explore new horizons in multimodal processing, analysis, and interactivity, responsible for conducting groundbreaking research, technology transfer, and patent application drafting. Dolby's research division is currently hiring a motivated researcher to advance multimedia technologies. An ideal candidate will possess expertise in HCI and deep learning, with the ability to stay updated with current literature, implement, and innovate. Knowledge or experience in human-computer interaction, generative models, self-supervised learning, audio, image, or text applications, as well as latent space techniques are beneficial for this role. Key Responsibilities: - Develop prototypes for multimodal, interactive, and immersive user experiences. - Collaborate with domain experts to execute Dolby's technical strategy in AI and machine learning. - Utilize deep learning to innovate and improve applications. - Contribute to advancing the state-of-the-art and creating intellectual property. - Transfer technology to product groups and prepare patent applications. - Provide insights on recent deep learning advancements to influence research and business decisions. Requirements: - Ph.D. in computer science or related field, emphasizing deep learning with knowledge in audio, video, 3D, or text processing. - Strong publication record in top machine learning conferences. - Proficiency in Python and popular deep learning frameworks like TensorFlow or PyTorch. - Creativity and ability to envision and develop innovative products. - Excellent communication skills.,

You should have 2-4 years of experience in designing and implementing complex algorithms for critical functionalities. As an ideal candidate, you will be responsible for system analysis, design, and documentation. You will need to obtain performance metrics of applications and optimize them efficiently. Managing project milestones and deadlines will also be part of your role. Your tasks will involve designing database architecture, writing MySQL queries, and implementing highly scalable multi-threaded applications. In terms of technical background, you should have a strong knowledge of Java, web services, and Design Patterns. Your logical thinking, problem-solving skills, and troubleshooting abilities will be essential for working on large-scale products. You must be an expert in code optimization, performance improvement, and have a working knowledge of tools like Java/Mysql Profiler. Your ability to debug, identify root causes, and implement effective solutions will be crucial. Knowledge of Regular Expressions, Solr, Elastic Search, NLP, Text Processing, or any ML libraries will be advantageous. Being a fast learner with strong problem-solving skills is key to excelling in this role. The minimum skills required for this position include strong programming skills in Core Java, J2EE, and Java Web Services (REST/SOAP). You should have a good understanding of Object-Oriented Design (OOD) and Design Patterns. Experience in performance tuning, code optimization, and using Java/MySQL profilers is necessary. You should demonstrate a proven ability to debug, identify root causes, and implement effective solutions. Solid experience with MySQL and relational database design is expected. Familiarity with multi-threaded application development and search technologies like Solr, Elasticsearch, or NLP/Text Processing tools is preferred. Understanding Regular Expressions and data parsing is also required. Exposure to Spring Framework, Hibernate, or Microservices Architecture will be a plus. Experience with tools like Git, Maven, JIRA, and CI/CD pipelines is advantageous for this role.,

Are you a persistent and creative problem solver Are you passionate about great technologies and building robust and scalable software Are you able to work collaboratively with a global team to achieve our goals You will be working as an NLG/NLP Python engineer or developer responsible for delivering innovative solutions to meet business obligations and opportunities by integrating information, refining business processes, and leveraging technology. Join the STAAT Insights team to implement natural language projects and scale out the production of financial reporting. The ideal candidate should have a solid understanding of present-day NLP/NLG/AI/Client capabilities, along with strong software engineering and analytical skills to identify appropriate solutions to address business needs and enhance operational efficiencies. Experience in financial services is strongly desired. An individual must have a strong passion for automation, innovation, and data immersion to extract meaningful insights. Key Responsibilities: - Experience with AI/ML and working with internal data scientists, business teams, and the NLG team to implement production-grade NLG solutions. - Proficiency in backend Java (Spring/Spring Boot) to develop robust and secure services. - Well-versed in basic concepts and steps in text processing and NLP such as regular expression-based searches, tokenization, stemming, lemmatization, and large-scale text pre- and post-processing. - Expertise in working with and building RESTful APIs, web services, and/or GraphQL APIs. - Experience with API security frameworks, token management, and user access control, including OAuth, JWT, etc. - Strong foundation and understanding of relational and NoSQL database principles. - Previous experience in developing production-quality Python and/or Java code with a strong adherence to software development fundamentals such as code quality considerations, automated testing, source version control, and optimization. - Experience working in a cloud environment, preferably Azure. About Us: UBS is the world's largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management, and the Investment Bank. Our global reach and expertise set us apart from competitors. We have a presence in all major financial centers in more than 50 countries. How We Hire: We may request you to complete one or more assessments during the application process. Learn more on our website. Join Us: At UBS, we embrace flexible ways of working where the role permits. We offer different working arrangements like part-time, job-sharing, and hybrid (office and home) working. Our purpose-led culture and global infrastructure enable us to connect, collaborate, and work together in agile ways to meet all our business needs. We believe in continuous learning and growth, understanding that great work is achieved through collaboration with diverse individuals who bring unique backgrounds, skills, and experiences to the table. Together, we are more than ourselves. Are you ready to be part of #teamUBS and make an impact Disclaimer / Policy Statements: UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce.,

Join the leader in entertainment innovation and help design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. The company is big enough to provide all the necessary resources and small enough for individuals to make a real difference and receive recognition for their work. Dolby offers a collegial culture, challenging projects, excellent compensation and benefits, and a truly flexible Flex Work approach to support individuals in doing their best work, wherever, whenever, and however they prefer. Dolby's research division is currently seeking a researcher to contribute to the development of the next generation of AI-based multimodal technologies. The candidate will collaborate with Dolby's renowned audio and vision experts to create new multimedia analysis, processing, and rendering technologies that will drive innovative interactive and immersive experiences. As part of an international team, the candidate will explore new horizons in multimodal processing, analysis, and interactivity. The role involves conducting fundamental research, transferring technology to product groups, and preparing patent applications. The ideal candidate for this role should possess a strong background in Human-Computer Interaction (HCI) and deep learning, with both conceptual understanding and practical experience. Keeping up to date with the latest literature, implementing, and innovating are essential aspects of this position. Knowledge or experience in areas such as human-computer interaction techniques, generative models, self-supervised learning, audio, image, or text applications, and latent space exploration are beneficial. The candidate will prototype inspiring experiences combining different modalities to enhance immersion and interaction, focusing on empirical refinement of the user experience. Experience in developing real-time applications delivering multi-modal experiences and human-computer interfaces with generative AI involvement is preferred. Responsibilities: - Prototype and showcase multimodal, interactive, and immersive user experiences. - Collaborate with domain experts to refine and execute Dolby's technical strategy in artificial intelligence and machine learning. - Utilize deep learning to develop new solutions and improve existing applications. - Drive the state-of-the-art and contribute to intellectual property development. - Transfer technology to product groups and draft patent applications. - Provide insights to internal leaders on recent deep learning advancements to influence research direction and business decisions. Requirements: - Ph.D. in computer science or related field, with a focus on deep learning. Knowledge in audio, video, 3D, or text processing is desirable. - Strong publication record, with publications in top machine learning conferences. - Proficiency in Python and popular deep learning frameworks like TensorFlow or PyTorch. - Ability to conceptualize new technologies and transform them into innovative products. - Creativity and strong communication skills.,

As the Senior AI Researcher at Dolby, you will be an integral part of our research efforts to pioneer the next generation of AI-based audio and video technologies. Collaborating with our world-class audio and vision experts, you will be at the forefront of inventing new multimedia analysis, processing, and rendering technologies. Your contributions will explore new horizons in audio processing, analysis, replay, and organization, playing a crucial role in performing fundamental research, technology transfer, and drafting patent applications. Your primary responsibility will be to push the boundaries of state-of-the-art in audio and media technologies, requiring a strong background in deep learning both conceptually and practically. You will stay updated with the latest literature, implement cutting-edge generative models, self-supervised learning, and multi-modal learning to innovate and drive impactful projects. Collaboration with Dolby's Applied AI team will allow you to integrate advanced technologies into next-generation audio and media experiences, focusing on audio models, language models, vision-language systems, captioning, and more. You will work closely with domain experts to refine and execute Dolby's technical strategy in artificial intelligence and machine learning, leveraging deep learning to create new solutions, enhance existing applications, and develop intellectual property. Your expertise in audio processing, along with knowledge in video or text processing, will be invaluable. Additionally, your strong publication record in major machine learning conferences and proficiency in Python and deep learning frameworks like TensorFlow or PyTorch will be essential to envision new technologies and transform them into innovative products. If you hold a Ph.D. in Computer Science or a similar field, possess a keen interest in audio processing, and have a solid foundation in deep learning, we encourage you to join us at Dolby. Your ability to envision new technologies, communicate effectively, and collaborate seamlessly will be key in driving our research direction and influencing business decisions with your expertise.,

You should hold a Bachelor's degree in Physics, Mathematics, Engineering, Metallurgy, or Computer Science, along with an MSc in a relevant field such as Physics, Mathematics, Engineering, Computer Science, Chemistry, or Metallurgy. Additionally, you should possess at least 8 years of experience in Data Science and Analytics delivery. Your expertise should include deep knowledge of machine learning, statistics, optimization, and related fields. Proficiency in programming languages like R and Python is essential, as well as experience with machine learning skills such as Natural Language Processing (NLP) and deep learning techniques. Furthermore, you should have hands-on experience with deep learning frameworks like TensorFlow, Keras, Theano, or PyTorch, and be familiar with working with large datasets, including knowledge of extracting data from cloud platforms and the Hadoop ecosystem. Experience in Data Visualization tools like MS Power BI or Tableau, as well as proficiency in SQL and working with RDBMS for data extraction and management, is required. An understanding of Data Warehouse fundamentals, experience in productionizing Machine Learning models in cloud platforms like Azure, GCP, or AWS, and domain experience in the manufacturing industry would be advantageous. Demonstrated leadership skills in nurturing technical talent, successfully completing complex data science projects, and excellent written and verbal communication are essential. As an AI Expert with a minimum of 10 years of experience, your key responsibilities will include serving as a technical expert, providing guidance in the development and implementation of AI solutions, and collaborating with cross-functional teams to integrate AI technologies into products and services. You will actively participate in Agile methodologies, contribute to PI planning, and support the technical planning of products. Additionally, you will analyze technical requirements, propose AI-based solutions, collaborate with stakeholders to design AI models that meet business objectives, and stay updated on the latest advancements in AI technologies. Your role will involve conducting code reviews, mentoring team members, and driving the adoption of AI technologies across the organization. Strong problem-solving skills, a proactive approach to problem resolution, and the ability to work under tight deadlines without compromising quality are crucial for this role. Overall, you will play a critical role in driving significant impact and value in building and growing the Data Science Centre of Excellence, providing machine learning methodology leadership, and designing various POCs using ML/DL/NLP solutions for enterprise problems. Your ability to learn new technologies and techniques, work in a fast-paced environment, and partner with the business to unlock value through data projects will be key to your success in this position.,

You should have 3-5 years of experience and a Bachelor's degree in Computer Science, B.Tech in IT or CSE, MCA, MSc IT, or a related field. The job is onsite in Mohali, PB with shift timings from 12 PM to 10 PM (Afternoon Shift). Your responsibilities will include designing and implementing complex algorithms, system analysis, design, and documentation, optimizing application performance metrics, managing project milestones and deadlines, designing database architecture, writing MySQL queries, and implementing highly scalable multi-threaded applications. In terms of technical background, you should have strong knowledge of Java, web services, and Design Patterns, good logical, problem-solving, and troubleshooting abilities, expertise in Code Optimization, Performance improvement, and working knowledge of Java/MySQL Profiler. You must also possess the ability to debug, understand problems, find root causes, and apply effective solutions. Knowledge of Regular Expressions, Solr, Elastic Search, NLP, Text Processing, or any ML libraries is desirable. Being a fast learner with strong problem-solving and troubleshooting skills is essential. The minimum skills required for this role include strong programming skills in Core Java, J2EE, and Java Web Services (REST/SOAP), good understanding of Object-Oriented Design (OOD) and Design Patterns, experience in performance tuning, code optimization, and the use of Java/MySQL profilers. You should have proven ability to debug, identify root causes, and implement effective solutions, solid experience with MySQL and relational database design, working knowledge of multi-threaded application development, familiarity with search technologies like Solr, Elasticsearch, or NLP/Text Processing tools, understanding of Regular Expressions and data parsing, exposure to Spring Framework, Hibernate, or Microservices Architecture is a plus, and experience with tools like Git, Maven, JIRA, and CI/CD pipelines is advantageous.,

You should have hands-on experience in Machine Learning Model and deep learning development using python. You will be responsible for Data Quality Analysis and Data preparation, Exploratory Data Analysis, and visualization of data. Additionally, you will define validation strategies, preprocessing or feature engineering on a given dataset, and data augmentation pipelines. Text processing using Machine Learning and NLP for processing documents will also be part of your role. Your tasks will include training models, tuning their hyperparameters, analyzing model errors, and designing strategies to overcome them. You should have experience with python packages such as Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, and Matplotlib. Experience in working on Azure open AI studio or openai using python or LLAMA or Langchain is required. Moreover, experience in working on Azure function and python flask/api development/streamlit, prompt engineering, conversational AI, and LLM models like word2Vec, Glove, spacy, BERT embedding models is preferred. You are expected to possess distinctive problem-solving, strategic, and analytical capabilities, as well as excellent time-management and organization skills. Strong knowledge in Programming languages like Python, reactjs, SQL, big data is essential. Excellent verbal and written communication skills are necessary for effective interaction between business and technical architects and developers. You should have 2 - 4 years of relevant experience and a Bachelors Degree in Computer Science, Computer Engineering, masters in computer application, MIS, or a related field. End-to-End development experience in deployment of the Machine Learning model using python and Azure ML studio is required. Exposure in developing client-based or web-based software solutions and Certification of Machine Learning and Artificial Intelligence will be beneficial. Good to have experience in power platform or power pages or Azure OpenAI studio. Grant Thornton INDUS comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. The culture at Grant Thornton INDUS promotes empowered people, bold leadership, and distinctive client service. Working at Grant Thornton INDUS offers an opportunity to be part of something significant and serves communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India Bengaluru and Kolkata.,

As a Python Developer at Innefu Lab, you will play a crucial role in the software development life cycle, contributing from requirements analysis to deployment. Working in collaboration with diverse teams, you will design and implement solutions that align with client requirements and industry standards. Your responsibilities encompass various key areas: Software Development: You will be responsible for creating, testing, and deploying high-quality Python applications and scripts. Code Optimization: Your role involves crafting efficient, reusable, and modular code while enhancing existing codebases for optimal performance. Database Integration: You will integrate Python applications with databases to ensure data integrity and efficient data retrieval. API Development: Designing and implementing RESTful APIs to enable seamless communication between different systems. Collaboration: Working closely with UI/UX designers, backend developers, and stakeholders to ensure effective integration of Python components. Testing and Debugging: Thoroughly testing applications, identifying and rectifying bugs, and ensuring software reliability. Documentation: Creating and maintaining comprehensive technical documentation for code, APIs, and system architecture. Continuous Learning: Staying updated on industry trends, best practices, and emerging technologies related to Python development. Required Skills: - Proficient in Python, Django, Flask - Strong knowledge of Regular Expressions, Pandas, Numpy - Excellent expertise in Web Crawling and Web Scraping - Experience with scraping modules like Selenium, Scrapy, Beautiful Soup, or URLib - Familiarity with text processing, Elasticsearch, and Graph-Based Databases such as Neo4j (optional) - Proficient in data mining, Natural Language Processing (NLP), and Optical Character Recognition (OCR) - Basic understanding of databases - Strong troubleshooting and debugging capabilities - Effective interpersonal, verbal, and written communication skills - Ability to extract data from structured and unstructured sources, analyze text, images, and videos, and utilize NLP frameworks for data enrichment - Skilled in collecting and extracting intelligence from data, utilizing regular expressions, and extracting information from RDBMS databases - Experience in web scraping frameworks like Scrapy for data extraction from websites Join us at Innefu Lab, where innovative offerings and cutting-edge technologies converge to deliver exceptional security solutions. Be part of our dynamic team driving towards excellence and growth in the cybersecurity domain.,

Roles & Responsibilities: 3+ years of experience in Python, machine learning, and banking model development. Interact with clients to understand requirements and provide analytical/modeling solutions. Design, build, and implement credit risk models. Structure analytical approaches and draw insights that align with business objectives. Independently solve complex problems using predictive modeling techniques. Design, implement, test, deploy, and maintain innovative data and ML solutions. Create prototypes and experiments using new learning algorithms and prediction techniques. Collaborate with product managers and stakeholders to solve science and business problems. Apply machine learning best practices for high-quality deliverables. Work with unstructured data, including text cleaning, TF-IDF, and text vectorization. Hands-on experience with IFRS 9 models and regulatory requirements. Analyze large datasets to identify trends, ensure data integrity and quality. Apply statistical methods and R programming for robust model development. Collaborate with cross-functional teams to align models with business needs. Stay current with credit risk methodologies and R programming trends.

Description We are looking for an experienced NLP Engineer to join our team in India. The ideal candidate will have a strong background in Natural Language Processing and be proficient in developing and deploying NLP models and algorithms to improve our products and services. Responsibilities Design and implement NLP models and algorithms to solve real-world problems. Collaborate with data scientists and software engineers to integrate NLP systems into applications. Conduct research on new NLP techniques and stay updated with advancements in the field. Analyze and preprocess large datasets for training NLP models. Evaluate and optimize the performance of NLP models to ensure high accuracy and efficiency. Skills and Qualifications 5-9 years of experience in Natural Language Processing (NLP) or related fields. Strong programming skills in Python, Java, or C++. Experience with NLP libraries and frameworks such as NLTK, SpaCy, Hugging Face Transformers, or similar. Proficient in machine learning algorithms and techniques, particularly those relevant to NLP. Solid understanding of linguistic principles and their application in NLP tasks. Familiarity with deep learning frameworks such as TensorFlow or PyTorch. Experience with cloud platforms (AWS, Google Cloud, Azure) for deploying NLP solutions. Excellent problem-solving skills and ability to work in a team-oriented environment.