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.

Intelligent Automation Engineer role in Bengaluru! Hybrid, 20 LPA, immediate joiners only. Work with GenAI, LLMs, NLP, MLOps, Blue Prism, AWS & Python.

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

- Annotate images: The primary responsibility of a Data Annotator is to accurately label and annotate images to help train machine learning models and improve data analysis.- Data labeling: The Data Annotator will be responsible for labeling data using annotation tools and ensuring that the data is organized and labeled correctly for analysis.- Use annotation tools: The Data Annotator should be familiar with various annotation tools used for labeling data, such as bounding boxes, polygons, and keypoints.- Assist with data analysis: The Data Annotator may be required to assist with data analysis tasks to identify patterns or trends in the labeled data.- Image labeling: Another key responsibility is to label images accurately and consistently to enable accurate image recognition by machine learning algorithms.- Process data: The Data Annotator will need to process large amounts of data efficiently and accurately, ensuring that the labeled data is ready for analysis.- Familiarity with Natural Language Processing (NLP) and Machine Learning: A basic understanding of NLP and machine learning concepts is desirable to effectively annotate data for training these models.Skills and Expectations:1. Proficiency in annotating images and labeling data.2. Familiarity with annotation tools and data processing techniques.3. Ability to work independently and remotely.4. Strong attention to detail and accuracy in labeling data.5. Basic understanding of NLP and machine learning concepts.6. Good communication skills to collaborate with team members on data annotation tasks.

Data Scientist, Focus on action-oriented insights through custom quantitative market research.concentration in pharma, biotech, healthcare industry.Candidates will support internal teams and drives strategic decisions by applying advanced analytics and machine learning concepts to solve business problems in pharmaceutical domain.

Job Opening: Generative AI & LLMs / Distinguished Gen AI Engineer Location: Remote Experience: 7+ yearsShare your profilestosandhya@welkinsofttech.com To apply, send your profile to sandhya@welkinsofttech.com / hr@welkinsofttech.com or connect with us here. Key Responsibilities:LLM Development: Design, fine-tune, and implement large language models (e.g., GPT, BERT, T5) for applications like personalized learning, content generation, and semantic search.Generative AI Solutions: Drive innovation with Gen AIdeveloping tools like adaptive learning paths, resume builders, and AI-written job descriptions.Machine Learning: Create predictive models and recommendation engines that align user profiles to skills and job opportunities.Token Optimization: Work with OpenAI and other services to manage token efficiency and usage costs.AI Integration: Collaborate with product and engineering teams to integrate AI features seamlessly into the Elefy platform.Data Engineering: Build and maintain robust data pipelines using Python, Node.js, and MongoDB.Data Analysis: Analyze large datasets to surface actionable insights for user engagement and platform growth.Visualization & Reporting: Build dashboards using Tableau, Power BI, or Matplotlib to communicate insights to stakeholders.Documentation: Ensure clear and comprehensive documentation for models, pipelines, and workflows. Who Were Looking For:Experience:8+ years in data science or AI, with 3+ years hands-on with LLMs or Gen AI in production settings.Proven track record of delivering ML models in scalable, real-world applications.Skills:Languages: Python (must), R, SQLFrameworks: PyTorch, TensorFlow, Hugging Face, Scikit-learnPrompt Engineering: Few-Shot Learning, Dynamic Prompting, Role Play, Chain-of-Thought (nice to have)Cloud: Azure (preferred), AWS, or GCPDatabase: MongoDB or similar NoSQL/SQL systemsKnowledge & Tools:Deep NLP & LLM expertise (e.g., GPT, BERT, T5, etc.)Containerization, APIs, CI/CD, and Azure-native cloud toolsStrong visual storytelling via Tableau, Power BI, or Python-based plotsAgile & cross-functional collaboration mindset Bonus Points:Experience with ethical AI, bias mitigation, and explain abilityFamiliarity with skill-based learning platforms or EdTech ecosystemsJoin us at Elefy and be part of a team thats reshaping the future of learning with AI.

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.

Job descriptionWe are looking for an experienced Data Scientist Trainer to conduct training sessions for aspiring data science professionals. The ideal candidate should have expertise in Python, Machine Learning, Deep Learning, SQL, Power BI, and Statistical Analysis and a passion for teaching. You will be responsible for designing course content, delivering hands-on training, and mentoring students to help them build strong careers in Data Science.Key Responsibilities:Deliver comprehensive training in Python, Machine Learning, Deep Learning, Data Visualization, and SQL.Develop and maintain course materials, assignments, and real-world projects.Provide hands-on training in data analysis, predictive modeling, and data-driven decision-making.Guide students in working with datasets, feature engineering, and model evaluation techniques.Teach Power BI/Tableau for data visualization and storytelling.Conduct doubt-clearing sessions and mentor students on capstone projects.Stay updated with the latest advancements in AI, ML, and Big Data technologies and integrate them into the training.Help students prepare for interviews, certifications, and job placements.Assist in webinars, workshops, and corporate training programs as required.

Responsibilities: Research, design, and develop LLM-based models and algorithms to solve real-world challenges. Collaborate with cross-functional teams including data scientists, software engineers, and domain experts to understand requirements and develop innovative solutions. Explore and implement state-of-the-art techniques in LLM, NLP, and machine learning to improve model performance and efficiency. Perform data preprocessing, feature engineering, and model evaluation to ensure high-quality results. Optimize LLM models for scalability, speed, and resource efficiency to meet production requirements. Stay updated with the latest advancements in LLM, NLP, and machine learning research and integrate relevant findings into our projects. Contribute to the development of best practices, guidelines, and documentation for LLM development and deployment. Develop and fine-tune Language Models (LLMs) to improve performance and accuracy. Collaborate with research teams to understand project requirements and develop custom LLM solutions. Implement and optimize LLM architectures for specific use cases and applications. Stay up to date with the latest advancements in LLM research and technology. Write clean, efficient, and maintainable code for LLM development projects. Conduct testing and debugging to ensure the quality of LLM implementations. Document code, processes, and best practices for LLM development.

Office LocationViman Nagar, PuneRole & ResponsibilitiesPlanning and Execution:Develop and execute a comprehensive global content strategy that aligns with the companys overall business objectives and brand vision. Ensure the content strategy supports the e-commerce platforms goals, including traffic growth, user engagement, conversion, and retention.SEO and Traffic Generation:Implement SEO best practices to improve organic search rankings and drive traffic. Focus on optimizing website architecture, speed, mobile-friendliness, and other technical factors to improve search engine visibility.Social Media Strategy:Develop and oversee a robust social media strategy to enhance brand visibility and engage the online community.AI and Technology Integration:Stay at the forefront of AI and NLP advancements to continuously innovate and integrate the latest technologies into the e-commerce platform.Analytics & Reporting:Utilize analytics tools to measure the effectiveness of content strategies and provide regular reports on key metrics.Project Management and Quality Control:Evaluate and implement project management tools to ensure projects meet quality standards and comply with technical specifications.Team Management:Lead, mentor, and inspire a diverse content team. Set clear goals, KPIs, and performance expectations for the team.Partner Management:Develop key alliances with large companies like Google, Meta, Adobe, and Twitter, and manage relationships with SEO content and social media tech partner agencies.Ideal CandidateEducational Qualifications:Bachelors degree in Communications, Marketing, Finance, or a related field. Masters degree preferred. Certifications in SEO, Content Creation, and Management are a plus.Work Experience:12-15 years of work experience, preferably in Financial Services/E-commerce companies. At least 5 years of experience in a similar leadership role.

Need AI/ML developer with strong experience in understanding the concepts of AI and building ChatBOT, NLP services. It is a PART Time job. Candidate will be provided monthly or bi-weekly salary. This is for overseas opportunity involved with AI/ data driven product development. Challenging and high growth project. The candidate will be given opportunities for learning while doing the development.

Walk in Drive: From 26th December to 27th DecemberTime: 10:00 AM till 06:00 PMJob Description: Junior AI DeveloperPosition: Junior AI DeveloperExperience: 1-3 YearsLocation: Bangalore (Koramangala)96, 3rd Cross, 7th Block Koramangala Bangalore, Bangalore, Karnataka 560095 Job Type: Hybrid - PermanentCompany Name: Modus Enterprise Transformation PlatformRole OverviewWe are looking for a dynamic and skilled Junior AI Developer to join our AI team in Bangalore. The ideal candidate will have hands-on experience in building intelligent chatbots, adopting and customizing AI models such as OpenAI, LLAMA, RAG, and Graph RAG, and contributing to Generative AI (GenAI), Large Language Models (LLM), and Artificial General Intelligence (AGI) projects. This role also involves assisting in team leadership and project executionInterested candidate can share cv on shambhavi.tewari@modusetp.com for any query contact on email id.

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