Fresher Natural Language Processing Jobs

We are looking for an AI Engineer to join our team in Bangalore. This role is suitable for candidates with 0 to 5 years of experience. As an AI Engineer, your primary focus will be on developing and implementing artificial intelligence models and systems.**Key Responsibilities:**- **Develop AI Models:** Create and enhance AI models to solve specific problems, ensuring they are effective and efficient.- **Data Analysis:** Analyze large data sets to extract meaningful patterns and insights, which are crucial for training AI systems.- **Collaboration:** Work closely with software developers and data scientists to integrate AI solutions into existing applications and platforms.- **Testing and Validation:** Conduct tests on models to evaluate their performance, making necessary adjustments to improve accuracy.- **Documentation:** Maintain clear documentation of processes, models, and findings, facilitating knowledge sharing within the team.**Required Skills and Expectations:**Candidates should have a solid understanding of programming languages such as Python or Java, as these are essential for model development. Familiarity with machine learning frameworks like TensorFlow or PyTorch is crucial for building robust AI solutions. A strong analytical mindset and problem-solving abilities are key traits we expect. Additionally, it is important for candidates to communicate effectively, as collaboration with team members is pivotal. While prior experience is beneficial, a keen interest in artificial intelligence and a willingness to learn are equally valued. Candidates should have completed at least their 12th grade education.

We are looking for passionate and enthusiastic freshers who want to build a career in Artificial Intelligence. The candidate will work on real-time AI projects involving Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI solutions.Key ResponsibilitiesDevelop, test, and deploy AI/ML models.Work on Python-based AI applications.Build chatbots, automation tools, and AI agents.Perform data cleaning, preprocessing, and analysis.Train and optimize machine learning models.Integrate AI models with web or mobile applications.Research latest AI trends and technologies.Collaborate with development teams on projects.

Located in the city center of Beijing, the College of Artificial Intelligence at Capital Normal University (Beijing) invites applications for full-time tenured faculty positions and research positions at all ranks (Professor /Associate Professor). We welcome applicants with research and/or teaching focus across a broad range of AI disciplines, including but not limited to:Machine Learning & Deep Learning Theory, Computer Vision (3D, Video, Generative AI, Multimodal), Natural Language Processing & Large Language Models, Data Mining & Databases, Generative AI and Creative Applications, Graph Learning & Knowledge Graphs, AI for Healthcare / Biology / Scientific Discovery, Autonomous Systems & Embodied AI, Trustworthy AI (Robustness, Fairness, Privacy), Efficient AI (Neural Architecture Search, Model Compression), AI for Science, Healthcare, and Sustainability, Electrical Engineering & Signal Processing, Neuromorphic & Brain-Inspired Computing.Successful candidates are expected to build an active research program, supervise graduate students, and contribute to undergraduate and graduate education.IDEAL PROFILES- PhD in Computer Science, ECE, Statistics, Mathematics, or a closely related field- Strong publication record at top venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, KDD, SIGIR, AAAI, IJCAI, IEEE/ACM Transactions, etc.)- Commitment to collaborative, rigorous academic research- Good academic ethics and professionalismHOW TO APPLY1. Curriculum vitae with full publication list2. PDF copies of 3-5 representative publications3. Research statementThis posting is open-ended and continuously accepting applications. There is no deadline - qualified candidates are welcome to apply at any time. Applications are reviewed on a rolling basis and candidates will be contacted as positions become available.Feel free to reach out before submitting a full application. We are happy to discuss fit, timeline, and compensation before you invest time in a formal submission.Capital Normal University is an equal opportunity employer. We particularly welcome applications from women and underrepresented groups in AI.

Job Title: AI ML Internship Company : FinVise AI Tech Pvt LtdLocation: Nagpur (In-office)Type: Full-time InternshipAbout FinVise AI Tech Pvt LtdFinVise is an AI-powered, next-generation FinTech ecosystem transforming how individuals and businesses understand, manage, and grow their money.We are building an integrated financial platform that combines personal finance education, investment analysis, goal-based planning, taxation assistance, and AI-driven financial guidance. Our mission is to make finance simple, intelligent, and accessible through technology, automation, and data-driven insights.The platform leverages conversational AI, modern UI/UX, and intelligent workflows to deliver seamless financial experiences across assets including equities, mutual funds, digital assets, and emerging financial instruments.What youll work on :Develop and integrate AI chatbots across multiple application screensImplement AI-powered workflows within mobile and web applicationsBuild and improve NLP-based conversational systems for smarter user interactionsIntegrate AI APIs into mobile and web platformsOptimize chatbot responses for accuracy, relevance, and performanceCollaborate with product and engineering teams to enable AI capabilities across all app pagesContribute to scalable, AI-driven features powering FinVise productsYoull be a great fit if you have :Strong foundation in Python and backend developmentUnderstanding of Machine Learning and Natural Language Processing (NLP)Experience integrating REST APIsFamiliarity with OpenAI API or similar AI servicesKnowledge of integration testingSelf-learning mindset and ability to work in a fast-paced environmentInterest in building production-grade AI systemsEligibility Criteria:Available for a full-time, in-office internship in NagpurCurrently pursuing or recently completed Computer Science, AI/ML, Data Science, or related fieldsPrior experience with chatbots, AI APIs, or NLP projects is a plusWhat youll get:Certificate of completionLetter of recommendationFlexible work hours5-day work weekOpportunity for full-time job offer upon successful performance

We are looking for a passionate and motivated AI/ML Engineer to join our growing team. This is an excellent opportunity for fresh graduates to kick-start their career in Artificial Intelligence and Machine Learning. Youll work on exciting projects involving data preprocessing, model development, and deployment under the guidance of senior data scientists and AI experts.Key Responsibilities:Assist in developing, training, and testing machine learning models.Work with datasets: cleaning, processing, and analyzing data using Python, NumPy, and Pandas.Implement algorithms and techniques from scratch or using frameworks like Scikit-learn, TensorFlow, or PyTorch.Collaborate with data scientists and software engineers to integrate models into production.Participate in research and contribute to documentation, reports, and presentations.Continuously learn and apply the latest AI/ML techniques and best practices.Required Skills:Bachelors degree in Computer Science, Engineering, Data Science, or a related field.Strong foundation in Python and understanding of basic ML concepts.Familiarity with AI/ML libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch).Understanding of data structures, algorithms, and mathematics behind ML.Good problem-solving and analytical skills.Ability to work in a team and communicate effectively.Preferred (Bonus) Skills:Exposure to NLP, computer vision, or deep learning projects.Experience with cloud platforms like AWS, GCP, or Azure.Knowledge of SQL and database management.Participation in AI/ML competitions (e.g., Kaggle) or relevant internships.

Proficiency in machine learning algorithms and frameworks, with specific expertise in LLMs such as BERT, ROBERTA, XLNet, GPT, and LLama. Extensive knowledge of Natural Language Processing (NLP) techniques and methodologies. Familiarity with deep learning fundamentals, including LSTM, CNN, and RNN architectures. Hands-on experience in developing and deploying machine learning models using frameworks like Flask or Django. Ability to analyze and preprocess large datasets efficiently. Strong problem-solving skills and the ability to work independently or collaboratively in a team environment. Excellent communication skills to articulate complex technical concepts effectively. Keen interest in staying updated with the latest advancements in machine learning and artificial intelligence. Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields. Prior experience in implementing scalable and efficient machine learning solutions would be advantageous. Proficiency in deep learning fundamentals, with expertise in neural network architectures such as CNN, MobileNet, InceptionNet, VGG16, etc. Extensive knowledge of image processing techniques, including segmentation and feature extraction. Hands-on experience in developing and deploying deep learning models using TensorFlow and PyTorch libraries. Familiarity with object detection algorithms like YOLO and object and instance segmentation methods. Ability to process and analyze video data to derive meaningful insights and patterns. Strong problem-solving skills and the ability to optimize and fine-tune deep learning models for performance and efficiency. Excellent understanding of computer vision principles and techniques. Effective communication skills to collaborate with cross-functional teams and stakeholders. Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields. Prior experience in implementing

We are looking for a Data Science Trainer to join our team. The ideal candidate will have a strong understanding of data science concepts and be able to effectively communicate these concepts to others.Roles and Responsibilities1. Design and deliver training programs on data science topics, including statistical analysis, machine learning, and data mining2. Assess the needs of students and develop training programs that meet those needs3. Provide feedback to students and track their progress4. Maintain up-to-date knowledge of data science trends and technologiesSkills and requirements1. Experience: 06 Months - 01 Year2. Skills: Python, Django, R, Data Science, Machine Learning3. Strong understanding of data science concepts and techniques4. Passion for teaching and training5. Excellent communication and presentation skills

Educational Background:Currently pursuing a degree in Computer Science, Data Science, Computational Linguistics, or a related field.Knowledge of NLP Concepts:Understanding of fundamental NLP concepts and techniques, including tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, and machine translation.Programming Skills:Proficiency in programming languages commonly used in NLP, such as Python or Java.NLP Libraries/Frameworks:Experience with NLP libraries and frameworks, such as NLTK, SpaCy, TensorFlow, or PyTorch.Text Processing Skills:Ability to preprocess and clean large volumes of text data efficiently.Machine Learning Basics:Familiarity with basic machine learning concepts and algorithms, as NLP often involves machine learning techniques.Data Analysis and Visualization:Skills in analyzing and visualizing linguistic data, including the use of tools like Pandas, Matplotlib, or Seaborn.Language Proficiency:Strong linguistic skills with an understanding of syntax, semantics, and pragmatics. Proficiency in multiple languages may be a plus.Problem-Solving Skills:Ability to approach NLP challenges with creative problem-solving skills.Communication Skills:Good communication skills to articulate ideas, share findings, and collaborate with team members.Attention to Detail:Strong attention to detail, especially when working with linguistic nuances and language-specific patterns