145 Language Technology jobs in India
Natural Language Processing Engineer
Posted today
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Job Description
Responsibilities:
- Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA).
- Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure).
- Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques.
- Ensure ethical AI practices and mentor junior engineers.
• Required Skills:
- Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK).
- Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services).
- Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases.
- Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations.
• Nice to Have:
- Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement.
- Contributions to open-source NLP projects or a strong publication record.
Skills Required
Transformers, Cloud deployment, Python
Natural Language Processing (NLP)
Posted today
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Job Description
Role Responsibilities:
- Build predictive models and advanced algorithms for large datasets
- Evaluate emerging AI/ML technologies and identify new data patterns
- Collaborate with product managers and engineers to deploy models in production
- Integrate front-end with back-end systems in partnership with developers
Job Requirements:
- Strong coding skills in Python and R
- Experience with NLP toolkits such as CoreNLP, NLTK, Semantic Web
- Familiarity with data mining and information retrieval tools like Lucene, SOLR
- Good communication and team management skills
- Exposure to Insurance, Banking, or Capital Markets domains is a plus
Skills Required
Nlp, Machine Learning, Data Mining, Python, Natural Language Processing, Programming Language, Ml
Natural Language Processing (NLP)
Posted today
Job Viewed
Job Description
Role Responsibilities:
- Build predictive models and advanced algorithms for large datasets
- Evaluate emerging AI/ML technologies and identify new data patterns
- Collaborate with product managers and engineers to deploy models in production
- Integrate front-end with back-end systems in partnership with developers
Job Requirements:
- Strong coding skills in Python and R
- Experience with NLP toolkits such as CoreNLP, NLTK, Semantic Web
- Familiarity with data mining and information retrieval tools like Lucene, SOLR
- Good communication and team management skills
- Exposure to Insurance, Banking, or Capital Markets domains is a plus
Skills Required
Nlp, Machine Learning, Data Mining, Python, Natural Language Processing, Programming Language, Ml
Natural Language Processing (NLP)
Posted today
Job Viewed
Job Description
Role Responsibilities:
- Build predictive models and advanced algorithms for large datasets
- Evaluate emerging AI/ML technologies and identify new data patterns
- Collaborate with product managers and engineers to deploy models in production
- Integrate front-end with back-end systems in partnership with developers
Job Requirements:
- Strong coding skills in Python and R
- Experience with NLP toolkits such as CoreNLP, NLTK, Semantic Web
- Familiarity with data mining and information retrieval tools like Lucene, SOLR
- Good communication and team management skills
- Exposure to Insurance, Banking, or Capital Markets domains is a plus
Skills Required
Nlp, Machine Learning, Data Mining, Python, Natural Language Processing, Programming Language, Ml
Natural Language Processing Enginee...
Posted today
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Job Description
Design end to end java applications
Perform statistical analysis of results and refine models
Find and implement the right algorithms and tools for NLP tasks
Study and transform data science prototypes
Extend ML libraries and frameworks to apply in NLP tasks
Design Database to store NLP entities and relationship
Remain updated in the rapidly changing field of machine learning
write robust and testable code
Training and evaluating models
Use effective text representation techniques and classification algorithms
Designing and developing NLP applications for medical entity extraction and text mining
Candidate should have:
Experience with machine learning frameworks (like Keras or openly) and libraries (like sci-kit-learn)
Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling
Familiarity with Ontology tools and technologies
Knowledge of Python, SQL
Proven experience as an NLP Engineer or similar role/Track record in NLP/NLU and related technologies
Clinical NLP experience (cTakes, UIMA)
Strong Java development experience would be preferred.
Data Scientist - Natural Language Processing
Posted today
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Job Description
Overview
Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. We are passionate about applying data science and artificial intelligence to solve some of the worlds biggest challenges.
Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI and geospatial deep learning.
As a Data Scientist, you will develop deep learning models using libraries such as PyTorch and create APIs and tools for training and deploying them on satellite imagery. If you are passionate about deep learning applied to remote sensing and GIS, developing AI and deep learning models, and love maps or geospatial datasets/imagery, this is the place to be!
Responsibilities
Requirements
Recommended Qualifications
#LI-Onsite
#LI-PK1
About Esri
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their lifes best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esris Racial Equity and Social Justice initiatives, please visit our website .
If you dont meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
Requisition ID: -
Natural Language Processing(NLP) Developer
Posted today
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Job Description
About Company:
It is a global MNC Service based.
Experience: 3 to 6Years
Location: Bangalore
Notice Period: Immediate to 45 Days
Mode: work from office(WFO)
Skills: Natural language processing(NLP) with Python / Java (Scripting), Machine Learning(AIML)
Roles and Responsibilities:
Scripting/Programming : Skilled in Shell and Python / Java for automation and tool development. Familiarity with NLP libraries like NLTK or spaCy or Tensor flow
Data Analysis: Strong analytical skills to clean, preprocess, and analyze large datasets
Good understanding of Machine Learning & Deep Learning
Additional Skills:
Kubernetes: Strong experience in deploying and scaling applications, managing secrets, and troubleshooting within Kubernetes environments. K8s networking, CNI, VLAN and CNS
Google Cloud : Familiarity with Google Cloud Build, Cloud Deploy,Cloud Functions, Secret Manager, GCS-storage
Virtualization & Containerization : Understanding of virtualization concepts and experience with containerization technologies, including KubeVirt. Proficient in building and deploying containers
CI/CD, DevOps : Experienced in automating build processes, module testing, static code analysis, integration testing, application packaging, vulnerability scanning, and release management.
Configuration Management: Proficient with tools such as Terraform and Ansible for infrastructure as code.
Configuration Management: Proficient with tools such as Terraform and Ansible for infrastructure as code.
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Natural Language Processing Engineer (Freelancer)
Posted today
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We are seeking India's top-tier NLP Engineers to join an elite community of professionals solving complex AI challenges. If you have expertise in text analytics, large language models (LLMs), and speech processing, this is your opportunity to collaborate with industry leaders and shape the future of intelligent systems.
What's in It for You- Pay above market standards
- Flexible contract durations (2–12 months)
- Remote-first with optional onsite roles
- Join a high-impact community of AI innovators
- Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA)
- Build scalable NLP pipelines for real-time and batch processing of large-scale text data
- Deploy models on cloud platforms (AWS, GCP, Azure) and optimize for performance
- Implement CI/CD pipelines for automated training, deployment, and monitoring
- Integrate NLP models with search engines, recommendation systems, and retrieval-augmented generation (RAG) techniques
- Ensure ethical AI practices and mentor junior engineers
- Expert-level Python with NLP libraries (Hugging Face, SpaCy, NLTK)
- Experience with transformer-based models and scalable deployment (Flask, Kubernetes, cloud services)
- Proficiency in model optimization, data pipelines (Spark, Dask), and vector databases
- Familiarity with MLOps, CI/CD (MLflow, DVC), and data privacy regulations
- Experience with multimodal AI, conversational AI (Rasa, OpenAI API), and knowledge graphs
- Familiarity with graph-based NLP, A/B testing, and reinforcement learning for NLP
- Contributions to open-source NLP projects or a strong publication record
Skills Required
Continuous Integration, Python, Natural Language Processing, Vector, Aws, Kubernetes
Natural Language Processing (Nlp) Programmer
Posted 1 day ago
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Job Description
- Strong understanding of ML fundamentals.
- Expertise in using ML toolkits like SageMaker, PyTorch, TensorFlow etc.
- Ability to take ownership of product specs and drive them from concept to production rollout.
- Understanding of software design principles, including algorithm implementation, optimization & performance tuning, and integration with other production systems.
- Collaborates with multi-functional teams to deliver great product experiences for Presto customers.
- Excellent written & verbal communication skills in ideating, prototyping, and providing thought leadership.
**Requirements**:
- 4+ years of professional experience in leading a team in Natural Language Processing, Deep Learning, or related field.
- 8+ years overall industry experience in software development.
- Strong understanding of ML in NLP and the ability to translate them into production-quality code.
- Expertise in algorithm design and implementation in Python and/or Java.
- Ability to understand business requirements and translate them into technical requirements.
- Passion for writing high-quality production code for building and maintaining scalable machine learning systems.
- Ability to research ML frameworks/technologies and capable of leveraging it in working prototype for adoption recommendations.
- Proficient understanding of code versioning tools, such as Git.
- Familiarity with continuous integration.
**Salary**: From ₹50,000.00 per month
Ability to commute/relocate:
- Dubai: Reliably commute or planning to relocate before starting work (required)
Lead AI Engineer - Natural Language Processing
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Job Description
Your role will involve managing and mentoring a team of talented AI engineers, fostering a collaborative and innovative environment. You will guide the technical direction of NLP initiatives, ensuring the adoption of best practices in model development, evaluation, and deployment. Key responsibilities include architecting robust NLP pipelines, optimizing model performance for production environments, and conducting rigorous testing and validation. You will also collaborate with product management to define and prioritize NLP features, and with data scientists to explore and leverage new data sources. A deep understanding of deep learning frameworks (PyTorch, TensorFlow), transformer models (BERT, GPT), and associated libraries (Hugging Face, spaCy) is essential.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field, with a minimum of 7 years of experience in AI/ML engineering, with a strong focus on NLP. Proven experience in leading technical teams and managing AI projects from conception to production is required. Excellent programming skills in Python, along with experience in cloud platforms (AWS, Azure, GCP) and MLOps practices, are highly desirable. If you are passionate about leveraging cutting-edge NLP to solve real-world problems and thrive in a remote-first, agile environment, we encourage you to apply. This role offers the chance to make a significant impact on a rapidly growing AI venture.