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Sentiment Analysis Jobs in Bangalore (Bengaluru)

11+ Sentiment Analysis Jobs in Bangalore (Bengaluru) | Sentiment Analysis Job openings in Bangalore (Bengaluru)

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

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Sizzle

at Sizzle

1 recruiter
Vijay Koduri
Posted by Vijay Koduri
Bengaluru (Bangalore)
2 - 10 yrs
₹6L - ₹20L / yr
skill iconData Science
skill iconMachine 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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It's a deep-tech and research company.

It's a deep-tech and research company.

Agency job
via wrackle by Naveen Taalanki
Bengaluru (Bangalore)
3 - 8 yrs
₹10L - ₹25L / yr
skill iconData Science
skill iconPython
Natural Language Processing (NLP)
skill iconDeep 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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Contact Center software that leverages AI to improve custome

Contact Center software that leverages AI to improve custome

Agency job
via Qrata by Rayal Rajan
Bengaluru (Bangalore)
4 - 8 yrs
₹17L - ₹40L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
skill iconAmazon Web Services (AWS)
skill iconPython
+4 more
Role: Machine Learning Engineer

As a machine learning engineer on the team, you will
• Help science and product teams innovate in developing and improving end-to-end
solutions to machine learning-based security/privacy control
• Partner with scientists to brainstorm and create new ways to collect/curate data
• Design and build infrastructure critical to solving problems in privacy-preserving machine
learning
• Help team self-organize and follow machine learning best practice.

Basic Qualifications

• 4+ years of experience contributing to the architecture and design (architecture, design
patterns, reliability and scaling) of new and current systems
• 4+ years of programming experience with at least one modern language such as Java,
C++, or C# including object-oriented design
• 4+ years of professional software development experience
• 4+ years of experience as a mentor, tech lead OR leading an engineering team
• 4+ years of professional software development experience in Big Data and Machine
Learning Fields
• Knowledge of common ML frameworks such as Tensorflow, PyTorch
• Experience with cloud provider Machine Learning tools such as AWS SageMaker
• Programming experience with at least two modern language such as Python, Java, C++,
or C# including object-oriented design
• 3+ years of experience contributing to the architecture and design (architecture, design
patterns, reliability and scaling) of new and current systems
• Experience in python
• BS in Computer Science or equivalent
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Gormalone LLP

at Gormalone LLP

3 recruiters
Dhwani Rambhia
Posted by Dhwani Rambhia
Bengaluru (Bangalore)
2 - 5 yrs
₹5L - ₹20L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconData Analytics
+18 more

DATA SCIENTIST-MACHINE LEARNING                           

GormalOne LLP. Mumbai IN

 

Job Description

GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.

 

GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.

 

Location: Bangalore

 

Roles & Responsibilities

  • Individual contributor
  • Developing and maintaining an end-to-end data science project
  • Deploying scalable applications on different platform
  • Ability to analyze and enhance the efficiency of existing products

 

What are we looking for?

  • 3 to 5 Years of experience as a Data Scientist
  • Skilled in Data Analysis, EDA, Model Building, and Analysis.
  • Basic coding skills in Python
  • Decent knowledge of Statistics
  • Creating pipelines for ETL and ML models.
  • Experience in the operationalization of ML models
  • Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
  • Hands-on experience in Keras, PyTorch or Tensorflow

 

 

Basic Qualifications

  • Tech/BE in Computer Science or Information Technology
  • Certification in AI, ML, or Data Science is preferred.
  • Master/Ph.D. in a relevant field is preferred.

 

 

Preferred Requirements

  • Exp in tools and packages like Tensorflow, MLFlow, Airflow
  • Exp in object detection techniques like YOLO
  • Exposure to cloud technologies
  • Operationalization of ML models
  • Good understanding and exposure to MLOps

 

 

Kindly note: Salary shall be commensurate with qualifications and experience

 

 

 

 

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Prismforce

at Prismforce

1 recruiter
Jyoti Moily
Posted by Jyoti Moily
Bengaluru (Bangalore)
5 - 8 yrs
₹20L - ₹25L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Prismforce (www.prismforce.com) is a US Head quartered vertical SAAS product company , with development teams in India. We are Series-A funded venture , backed by Tier 1 VC and targeted towards tech/IT services industry and tech talent organizations in enterprises, solving their most critical sector specific problems in Talent Supply Chain. The product suite is powered by artificial intelligence designed to accelerate business impact e.g. improved profitability and agility , by digitizing core vertical workflows underserved by custom applications and typical ERP offerings.


We are looking for Data Scientists to build data products to be the core of SAAS company disrupting the Skill market.In this role you should be highly analytical with a keen understanding of Data, Machine Learning, Deep Learning, Analysis, Algorithms, Products, Maths, and Statistics. The hands-on individual would be playing multiple roles of being a Data Scientist , Data Engineer , Data Analysts , Efficient Coder and above all Problem Solver.

Location: Mumbai / Bangalore / Pune / Kolkata

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


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Tredence
Sharon Joseph
Posted by Sharon Joseph
Bengaluru (Bangalore), Gurugram, Chennai, Pune
7 - 10 yrs
Best in industry
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconPython
+1 more

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

  1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
  2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
  3. Participate and lead executive presentations with client leadership stakeholders.
  4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
  5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

  1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
  2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
  3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
  4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
  5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
  6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
  7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
  8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
  9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

 

Qualification & Experience

  1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
  2. 6-10+ years of experience in data science, building hands-on ML models
  3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
  4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
  5. Knowledge of programming languages SQL, Python/ R, Spark.
  6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
  7. Experience with cloud computing services (AWS, GCP or Azure)
  8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
  9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
  10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
  11. Knowledge in GPU code optimization, Spark MLlib Optimization.
  12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
  13. Experience with ML CI/CD pipelines.
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TartanHQ Solutions Private Limited
Prabhat Shobha
Posted by Prabhat Shobha
Bengaluru (Bangalore)
2 - 4 yrs
₹9L - ₹15L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
skill iconPython
+4 more

Key deliverables for the Data Science Engineer would be to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

What will you do?

  • You will be building and deploying ML models to solve specific business problems related to NLP, computer vision, and fraud detection.
  • You will be constantly assessing and improving the model using techniques like Transfer learning
  • You will identify valuable data sources and automate collection processes along with undertaking pre-processing of structured and unstructured data
  • You will own the complete ML pipeline - data gathering/labeling, cleaning, storage, modeling, training/testing, and deployment.
  • Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
  • Building predictive models and machine-learning algorithms to apply to data sets.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  •  
  • Presenting information using data visualization techniques and proposing solutions and strategies to business challenges


We would love to hear from you if :

  • You have 2+ years of experience as a software engineer at a SaaS or technology company
  • Demonstrable hands-on programming experience with Python/R Data Science Stack
  • Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python
  • Familiarity with Big Data Platforms (Databricks, Hadoop, Hive), AWS Services (AWS, Sagemaker, IAM, S3, Lambda Functions, Redshift, Elasticsearch)
  • Experience in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests.
  • Demonstrable competency in Data Visualisation using the Python/R Data Science Stack.
  • Preferable Experience Experienced in web crawling and data scraping
  • Strong experience in NLP. Worked on libraries such as NLTK, Spacy, Pattern, Gensim etc.
  • Experience with text mining, pattern matching and fuzzy matching

Why Tartan?
  • Brand new Macbook
  • Stock Options
  • Health Insurance
  • Unlimited Sick Leaves
  • Passion Fund (Invest in yourself or your passion project)
  • Wind Down
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Synapsica Technologies Pvt Ltd

at Synapsica Technologies Pvt Ltd

6 candid answers
1 video
Human Resources
Posted by Human Resources
Bengaluru (Bangalore)
4 - 8 yrs
₹20L - ₹45L / yr
SVM
OpenCV
skill iconMachine Learning (ML)
skill iconDeep Learning
Artificial Intelligence (AI)
+6 more

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis. 

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting.  We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls

 

Your Roles and Responsibilities

Synapsica is looking for a Principal AI Researcher to lead and drive AI based research and development efforts. Ideal candidate should have extensive experience in Computer Vision and AI Research, either through studies or industrial R&D projects and should be excited to work on advanced exploratory research and development projects in computer vision and machine learning to create the next generation of advanced radiology solutions.

The role involves computer vision tasks including development customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.), and traditional Image Processing (OpenCV, etc.). The role is research-focused and would involve going through and implementing existing research papers, deep dive of problem analysis, frequent review of results, generating new ideas, building new models from scratch, publishing papers, automating and optimizing key processes. The role will span from real-world data handling to the most advanced methods such as transfer learning, generative models, reinforcement learning, etc., with a focus on understanding quickly and experimenting even faster. Suitable candidate will collaborate closely both with the medical research team, software developers and AI research scientists. The candidate must be creative, ask questions, and be comfortable challenging the status quo. The position is based in our Bangalore office.

 

 

Primary Responsibilities

  • Interface between product managers and engineers to design, build, and deliver AI models and capabilities for our spine products.
  • Formulate and design AI capabilities of our stack with special focus on computer vision.
  • Strategize end-to-end model training flow including data annotation, model experiments, model optimizations, model deployment and relevant automations
  • Lead teams, engineers, and scientists to envision and build new research capabilities and ensure delivery of our product roadmap.
  • Organize regular reviews and discussions.
  • Keep the team up-to-date with latest industrial and research updates.
  • Publish research and clinical validation papers

 

Requirements

  • 6+ years of relevant experience in solving complex real-world problems at scale using computer vision-based deep learning.
  • Prior experience in leading and managing a team.
  • Strong problem-solving ability
  • Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks).
  • Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc
  • Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
  • Background in publishing research papers and/or patents 
  • Computer Vision and AI Research background in medical domain will be a plus
  • Experience of GPU/DSP/other Multi-core architecture programming
  • Effective communication with other project members and project stakeholders
  • Detail-oriented, eager to learn, acquire new skills
  • Prior Project Management and Team Leadership experience
  • Ability to plan work and meet the deadline
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Statusneo

at Statusneo

6 recruiters
Yashika Sharma
Posted by Yashika Sharma
Hyderabad, Bengaluru (Bangalore)
2 - 4 yrs
₹2L - ₹4L / yr
skill iconData Science
Computer Vision
Natural Language Processing (NLP)
skill iconMachine Learning (ML)
skill iconPython
+2 more

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

 

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

 

Required Technical Skill Set:

  • Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

  • Experience using the full open source programming tools and utilities
  • Experience in working in end-to-end data science project implementation.
  • 2+ years of experience with development and deployment of Machine Learning applications
  • 2+ years of experience with NLP approaches in a production setting
  • Experience in building models using bagging and boosting algorithms
  • Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
  • Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
  • Strong python skills following software engineering best practices
  • Experience in using code versioning tools like GIT, bit bucket
  • Experience in working in Agile projects
  • Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
  • Experience managing big data with efficient query program good to have
  • Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
  • Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
  • Experience with Health care sector is preferred
  • MS/M.Tech or PhD is a plus
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Nanonets

at Nanonets

2 candid answers
1 product
Neil Shroff
Posted by Neil Shroff
Remote, Mumbai, Bengaluru (Bangalore)
3 - 10 yrs
$25K - $50K / yr
skill iconDeep Learning
TensorFlow
skill iconMachine Learning (ML)
skill iconPython

We are looking for an engineer with ML/DL background.


Ideal candidate should have the following skillset

1) Python
2) Tensorflow
3) Experience building and deploying systems
4) Experience with Theano/Torch/Caffe/Keras all useful
5) Experience Data warehousing/storage/management would be a plus
6) Experience writing production software would be a plus
7) Ideal candidate should have developed their own DL architechtures apart from using open source architechtures.
8) Ideal candidate would have extensive experience with computer vision applications


Candidates would be responsible for building Deep Learning models to solve specific problems. Workflow would look as follows:

1) Define Problem Statement (input -> output)
2) Preprocess Data
3) Build DL model
4) Test on different datasets using Transfer Learning
5) Parameter Tuning
6) Deployment to production


Candidate should have experience working on Deep Learning with an engineering degree from a top tier institute (preferably IIT/BITS or equivalent)

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Artivatic

at Artivatic

1 video
3 recruiters
Layak Singh
Posted by Layak Singh
Bengaluru (Bangalore)
2 - 5 yrs
₹5L - ₹10L / yr
Artificial Intelligence (AI)
skill iconPython
Natural Language Processing (NLP)
skill iconDeep Learning
skill iconMachine Learning (ML)
+3 more
We at artivatic are seeking passionate, talented and research focused natural processing language engineer with strong machine learning and mathematics background to help build industry-leading technology. - The ideal candidate will have research/implementation experience modeling and developing NLP tools and experience working with machine learning/deep learning algorithms.Qualifications :- Bachelors or Master degree in Computer Science, Mathematics or related field with specialization in natural language processing, Machine Learning or Deep Learning.- Publication record in conferences/journals is a plus.- 2+ years of working/research experience building NLP based solutions is preferred.Required Skills :- Hands-on Experience building NLP models using different NLP libraries ad toolkit like NLTK, Stanford NLP etc.- Good understanding of Rule-based, Statistical and probabilistic NLP techniques.- Good knowledge of NLP approaches and concepts like topic modeling, text summarization, semantic modeling, Named Entity recognition etc.- Good understanding of Machine learning and Deep learning algorithms.- Good knowledge of Data Structures and Algorithms.- Strong programming skills in Python/Java/Scala/C/C++.- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed with software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing.- Developing NLP based tools and solutions end to end.
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