NLP Engineer Jobs

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.

NLP Engineer (Python)Worktual is an all-in-one cloud platform for business communication.Were hiring a Machine Learning / Deep Learning Engineer (24 yrs) skilled in Python, NLP, and Generative AI.Youll: Build and deploy ML/DL models for real-world use. Work with transformers, LLMs, and GenAI tools. Manage and preprocess large datasets. Optimize, monitor, and retrain models.Requirements: Strong Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch). Experience with Hugging Face, LangChain, FastAPI. Solid grasp of ML/DL concepts and deployment.Contact: Jeyaraj HR+91 98841 85200

Strong experience in Python, Hands-on experience with LLMs (GPT, Gemini, Claude, etc.) and RAG architectures.Familiarity with knowledge graphs, vector databases, and AKD techniquesProblem-solving mindset with a passion for innovation.

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.

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.

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.

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

Ability for transforming natural language data into useful features using NLP techniques to feed classification algorithms. Should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques, Experience with machine learning framework & libraries.

COMPANY- Emplay Inc Job Location-Bengaluru, Work from home(Currently)Position Summary:As a Senior NLP Engineer you will primarily focus on building the NLU platform for Emplay by working with Analytics Team, Data Scientists, Data Engineers, brainstorm different ideas, research, build POCs and propose solutions that cater to the broader business needs. You will work with internal and external customer teams to help design machine learning models, data pipelines, integrate into and maintain production systems and analyze key metrics for decision makers and customers. Responsibilities:? As a core member of the NLP team, you will research, prototype, develop, deploy and scale innovative ML/DL solutions in collaboration with Analytics and Product Management teams.? You will develop predictive models on large-scale datasets to address various business problems leveraging advanced statistical modeling, machine learning, or data mining techniques.? Design and implement infrastructure for orchestrating end to end machine learning life cycles? Set up processes to monitor and continually improve efficiency and performance of models? Software development including algorithm implementation, optimization, performance profiling, integration to production systems, testing and documentation.? Write high-quality production code as you build and maintain robust, scalable machine learning systems.? Program primarily in Python using efficient algorithms and software design patterns? Scale and improve performance of Natural Language systems in production? Leadership, Team Management, Stakeholder Management exposure.Required Qualifications:? MS/PhD/BTech in NLP, ML, AI, Engineering or equivalent? 3-5 years of relevant experience in Natural Language Understanding, Recommendation Engine, Topic classification, Semantic Search

We have urgent openings for freshers in the 2018/2019/2020/2021 pass out with the position of a junior software engineer in the Chennai location.Walk-in Date: 05/07/2022 to 20/07/2022Designation: Junior Software EngineerSalary Package: 1.8 to 3 Lakhs/annumNo. of openings: 25QualificationsFreshers in 2018/2019/2020/2021 - BE /B.Tech(CSE, IT, ECE) /BCA /MCA /B.Sc /M.ScInterview Process- First Round: 90 minutes (Aptitude and Programming Round)- Second Round: Technical Interview- Third Round: HR InterviewRequired Technical skills- Basic knowledge of any technology or language (Java, Python).- Basic knowledge of any relational database e.g. MySQL.- Additional plus for knowledge of iOS/ Android/ Angular, HTML, CSS, JavaScript, JQuery & AJAX.- Additional plus for knowledge of Restful API development will be helpful.Desired Candidate Profile- Good aptitude and logical skills.- Good communication skills.- Self-starter, with a willingness to learn and work with a team.

Software development for Natural Language Processing, AI, Machine learning, Video processing, Audio recording, Software Quality Assurance, Analytics, Web based apps, etc.