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Natural Language Toolkit (NLTK) Jobs in Bangalore (Bengaluru)

11+ Natural Language Toolkit (NLTK) Jobs in Bangalore (Bengaluru) | Natural Language Toolkit (NLTK) Job openings in Bangalore (Bengaluru)

Apply to 11+ Natural Language Toolkit (NLTK) Jobs in Bangalore (Bengaluru) on CutShort.io. Explore the latest Natural Language Toolkit (NLTK) Job opportunities across top companies like Google, Amazon & Adobe.

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Bengaluru (Bangalore)
2 - 5 yrs
₹15L - ₹35L / yr
Natural Language Processing (NLP)
Natural Language Toolkit (NLTK)
NLU
SpaCy
CorenNLP
+5 more
About the role: We are looking for a Natural Language Processing (NLP)/ML Engineer to help us improve our NLP products and create new NLP applications. This is a highly technical role and an excellent academic and/or industry background (with specialization in NLP) with a Master's is preferred.

Someone who has strong industrial experience in NLP for a period of 2+ years. Experienced in applying different NLP techniques to problems such as text classification, text summarization, question &answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning Techniques. In-depth exposure to some of the Tools/Techniques: SpaCy, NLTK, Gensim, CoreNLP, NLU, NLG tools etc. Ability to design & develop practical analytical approach keeping the context of data quality & availability, feasibility, scalability, turnaround time aspects. Desirable to have demonstrated capability to integrate NLP technologies to improve chatbot experience. Exposure to frameworks like DialogFlow, RASA NLU, LUIS is preferred. Contributions to open-source software projects are an added advantage.

Experience in analyzing large amounts of user-generated content and process data in large-scale environments using cloud infrastructure is desirable
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It's a deep-tech and research company.
Bengaluru (Bangalore)
3 - 8 yrs
₹10L - ₹25L / yr
Data Science
Python
Natural Language Processing (NLP)
Deep Learning
Long short-term memory (LSTM)
+8 more
Job Description: 
 
We are seeking passionate engineers experienced in software development using Machine Learning (ML) and Natural Language Processing (NLP) techniques to join our development team in Bangalore, India. We're a fast-growing startup working on an enterprise product - An intelligent data extraction Platform for various types of documents. 
 
Your responsibilities: 
 
• Build, improve and extend NLP capabilities 
• Research and evaluate different approaches to NLP problems 
• Must be able to write code that is well designed, produce deliverable results 
• Write code that scales and can be deployed to production 
 
You must have: 
 
• Fundamentals of statistical methods is a must 
• Experience in named entity recognition, POS Tagging, Lemmatization, vector representations of textual data and neural networks - RNN, LSTM 
• A solid foundation in Python, data structures, algorithms, and general software development skills. 
• Ability to apply machine learning to problems that deal with language 
• Engineering ability to build robustly scalable pipelines
 • Ability to work in a multi-disciplinary team with a strong product focus
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Sizzle

at Sizzle

1 recruiter
Vijay Koduri
Posted by Vijay Koduri
Bengaluru (Bangalore)
2 - 10 yrs
₹6L - ₹20L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Audio
+6 more

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with AI and audio technologies around audio detection, speech-to-text, interpretation, and sentiment analysis.  


You will be responsible for:

Developing audio algorithms to detect key moments within popular online games, such as:

Streamer speaking, shouting, etc.

Gunfire, explosions, and other in-game audio events

Speech-to-text and sentiment analysis of the streamer’s narration

Leveraging baseline technologies such as TensorFlow and others -- and building models on top of them

Building neural network architectures for audio analysis as it pertains to popular games

Specifying exact requirements for training data sets, and working with analysts to create the data sets

Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment

Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation


You should have the following qualities:

Solid understanding of AI frameworks and algorithms, especially pertaining to audio analysis, speech-to-text, sentiment analysis, and natural language processing

Experience using Python, TensorFlow and other AI tools

Demonstrated understanding of various algorithms for audio analysis, such as CNNs, LSTM for natural language processing, and others

Nice to have: some familiarity with AI-based audio analysis including sentiment analysis

Familiarity with AWS environments

Excited about working in a fast-changing startup environment

Willingness to learn rapidly on the job, try different things, and deliver results

Ideally a gamer or someone interested in watching gaming content online


Skills:

Machine Learning, Audio Analysis, Sentiment Analysis, Speech-To-Text, Natural Language Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python


Work Experience:  2 years to 10 years


About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are over 700 million fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at http://www.sizzle.gg">www.sizzle.gg. 

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Prismforce

at Prismforce

1 recruiter
Shivali Kaul
Posted by Shivali Kaul
Bengaluru (Bangalore), Pune, Mumbai, Kolkata
3 - 6 yrs
₹20L - ₹50L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Responsibilities:

  • Identify relevant data sources - a combination of data sources to make it useful.
  • Build the automation of the collection processes.
  • Pre-processing of structured and unstructured data.
  • Handle large amounts of information to create the input to analytical Models.
  • Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
  • Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
  • Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
  • Participate in Problem solving sessions

Requirements:

  • Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
  • Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
  • Strong math skills (e.g. statistics , algebra)
  • Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
  • Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
  • Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Required Skills:

Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia

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xpressbees
Pune, Bengaluru (Bangalore)
6 - 8 yrs
₹15L - ₹25L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Artificial Intelligence (AI)
+6 more
Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.

● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
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Saarthi.ai

at Saarthi.ai

2 recruiters
Prabhudev S
Posted by Prabhudev S
Bengaluru (Bangalore)
2 - 9 yrs
₹10L - ₹30L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Python
C
+2 more

About the Role:  

As a Speech Engineer you will be working on development of on-device multilingual speech recognition systems. 

  • Apart from ASR you will be working on solving speech focused research problems like speech enhancement, voice analysis and synthesis etc. 
  • You will be responsible for building complete pipeline for speech recognition from data preparation to deployment on edge devices. 
  • Reading, implementing and improving baselines reported in leading research papers will be another key area of your daily life at Saarthi. 

Requirements:  

  • 2-3 year of hands-on experience in speech recognitionbased projects 
  • Proven experience as a Speech engineer or similar role 
  • Should have experience of deployment on edge devices 
  • Candidate should have hands-on experience with open-source tools such as Kaldi, Pytorch-Kaldi and any of the end-to-end ASR tools such as ESPNET or EESEN or DeepSpeech Pytorch
  • Prior proven experience in training and deployment of deep learning models on scale 
  • Strong programming experience in Python,C/C++, etc. 
  • Working experience with Pytorch and Tensorflow
  • Experience contributing to research communities including publications at conferences and/or journals 
  • Strong communication skills 
  • Strong analytical and problem-solving skills
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RandomTrees

at RandomTrees

1 recruiter
HariPrasad Jonnalagadda
Posted by HariPrasad Jonnalagadda
Remote, Hyderabad, Bengaluru (Bangalore)
9 - 20 yrs
₹10L - ₹15L / yr
Natural Language Processing (NLP)
Data Science
Machine Learning (ML)
Computer Vision
recommendation algorithm

Expert in Machine Learning (ML) & Natural Language Processing (NLP).

Expert in Python, Pytorch and Data Structures.

Experience in ML model life cycle (Data preparation, Model training and Testing and ML Ops).

Strong experience in NLP, NLU and NLU using transformers & deep learning.

Experience in federated learning is a plus

Experience with knowledge graphs and ontology.

Responsible for developing, enhancing, modifying, optimizing and/or maintaining applications, pipelines and codebase in order to enhance the overall solution.

Experience working with scalable, highly-interactive, high-performance systems/projects (ML).

Design, code, test, debug and document programs as well as support activities for the corporate systems architecture.

Working closely with business partners in defining requirements for ML applications and advancements of solution.

Engage in specifications in creating comprehensive technical documents.

Experience / Knowledge in designing enterprise grade system architecture for solving complex problems with a sound understanding of object-oriented programming and Design Patterns.

Experience in Test Driven Development & Agile methodologies.

Good communication skills - client facing environment.

Hunger for learning, self-starter with a drive to technically mentor cohort of developers. 16. Good to have working experience in Knowledge Graph based ML products development; and AWS/GCP based ML services.

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Streamoid Technologies Pvt Ltd
Agency job
via HyreSpree by HyreSpree Team
Bengaluru (Bangalore)
4 - 6 yrs
₹4L - ₹20L / yr
Natural Language Processing (NLP)
PyTorch
Python
Java
Solr
+1 more
Skill Set:
  • 4+ years of experience Solid understanding of Python, Java and general software development skills (source code management, debugging, testing, deployment etc.).
  • Experience in working with Solr and ElasticSearch Experience with NLP technologies & the handling of unstructured text Detailed understanding of text pre-processing and normalisation techniques such as tokenisation, lemmatisation, stemming, POS tagging etc.
  • Prior experience in implementation of traditional ML solutions - classification, regression or clustering problem Expertise in text-analytics - Sentiment Analysis, Entity Extraction, Language modelling - and associated sequence learning models ( RNN, LSTM, GRU).
  • Comfortable working with deep-learning libraries (eg. PyTorch)
  • Candidate can even be a fresher with 1 or 2 years of experience IIIT, IIIT, Bits Pilani, top 5 local colleges are preferred colleges and universities.
  • A Masters candidate in machine learning.
  • Can source candidates from Mu Sigma and Manthan.
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Marktine

at Marktine

1 recruiter
Vishal Sharma
Posted by Vishal Sharma
Remote, Bengaluru (Bangalore)
2 - 4 yrs
₹10L - ₹20L / yr
Data Science
R Programming
Python
SQL
Natural Language Processing (NLP)

- Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques

- Experience working with business understanding the requirement, creating the problem statement, and building scalable and dependable Analytical solutions

- Must have hands-on and strong experience in Python

- Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning

- Strong analytical & algorithm development skills

- Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining, etc

- Ability to collaborate across teams and strong interpersonal skills

 

Skills

- Sound theoretical knowledge in ML algorithm and their application

- Hands-on experience in statistical modeling tools such as R, Python, and SQL

- Hands-on experience in Machine learning/data science

- Strong knowledge of statistics

- Experience in advanced analytics / Statistical techniques – Regression, Decision trees, Ensemble machine learning algorithms, etc

- Experience in Natural Language Processing & Deep Learning techniques 

- Pandas, NLTK, Scikit-learn, SpaCy, Tensorflow

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Bengaluru (Bangalore)
9 - 12 yrs
₹28L - ₹32L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Work Location - Bangalore

 

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

  • Build and enhance the software stack for modelling and data analytics
  • Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
  • Automate repetitive data modelling and analytics tasks
  • Keep up to date with available relevant technologies, to solve business problems
  • Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
  • Help define/share best practices for the business users and  enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
  • Share daily/weekly  progress made by the team
  • Work with senior stakeholders & drive the discussions independently
  • Mentor and lead a team of software developers on analytics related product development practices


Qualifications:

  • 10-13 years of data engineering experience.
  • Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
  • In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
  • Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
  • Intuitive with good interpersonal-skills, time-management and task-prioritization
  • Ability to lead a technical team of software developers and mentor them on good software development practices.
  • Ability to quickly grasp the business problem and nuances when put forth.
  • Ability to quickly put together an execution plan and see it through till closure.
  • Strong communication, presentation and influencing skills.


Education:

  • Bachelor’s/University degree or equivalent experience
  • Data Science or Analytics specialization preferred

 

 

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Bengaluru (Bangalore)
3 - 12 yrs
₹3L - ₹25L / yr
Java
Python
Spark
Hadoop
MongoDB
+3 more
We are a start-up in India seeking excellence in everything we do with an unwavering curiosity and enthusiasm. We build simplified new-age AI driven Big Data Analytics platform for Global Enterprises and solve their biggest business challenges. Our Engineers develop fresh intuitive solutions keeping the user in the center of everything. As a Cloud-ML Engineer, you will design and implement ML solutions for customer use cases and problem solve complex technical customer challenges. Expectations and Tasks - Total of 7+ years of experience with minimum of 2 years in Hadoop technologies like HDFS, Hive, MapReduce - Experience working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software. - Experience with core Data Science techniques such as regression, classification or clustering, and experience with deep learning frameworks - Experience in NLP, R and Python - Experience in performance tuning and optimization techniques to process big data from heterogeneous sources. - Ability to communicate clearly and concisely across technology and the business teams. - Excellent Problem solving and Technical troubleshooting skills. - Ability to handle multiple projects and prioritize tasks in a rapidly changing environment. Technical Skills Core Java, Multithreading, Collections, OOPS, Python, R, Apache Spark, MapReduce, Hive, HDFS, Hadoop, MongoDB, Scala We are a retained Search Firm employed by our client - Technology Start-up @ Bangalore. Interested candidates can share their resumes with me - [email protected]. I will respond to you within 24 hours. Online assessments and pre-employment screening are part of the selection process.
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