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Position : Java NLP Engineer
Location : Remote/Bangalore/Pune
Experience : 2+ Years
Responsibilities :
- Design and develop NLP solutions using Java or transition to Java-based development.
- Utilize NLP libraries like Stanford NLP, SpaCy, NLTK, or OpenNLP.
- Perform tasks like POS Tagging, Lemmatization, Dependency Parsing, and Phrase Chunking.
- Implement advanced NLP techniques, including text summarization and knowledge extraction.
- Develop rule-based NLP systems and analyze textual data.
- Apply graph algorithms to tasks such as semantic analysis and knowledge representation.
- Leverage resources like WordNet or ConceptNet for language models.
- Conduct information extraction using regular expressions.
Requirements :
- 2+ Years of experience in NLP (industry or academic).
- Proficiency in Java or readiness to adopt Java-based workflows.
- Expertise in syntactic analysis and NLP frameworks.
- Experience with text datasets and building NLP pipelines.
- Knowledge of graph algorithms and lexical databases (WordNet/ConceptNet preferred).
- Strong skills in crafting regular expressions for text extraction.
- Collaborative mindset with excellent problem-solving abilities.

Must have :
- Strong Experience in Python development
- Familiarity with Data Structures and Algorithms
- Experience in developing Enterprise scale applications
- Exposure to NLP
- Exposure / awareness of AI, ML
- Exposure to Windows Azure is an added advantage
- God understanding of project architecture and software development processes such as Agile and Scrum
Responsibilities :
- Partner with Business Stakeholders to translate business objectives into clearly defined analytical Projects
- Own the end-end process, from recognizing the problem to implementing the solution
- Understand customer’s requirements and design the optimum solution using Icertis’ AI applications
- Configure, Extend, and optimize Icertis AI app through Python scripts, NLP NER Analysis and other mechanisms
- Take full ownership of project / product features to implement, provide bug fixes and write tests and tooling for those features to ensure they work well at cloud scale.
- Plan and identify solutions and risks in assigned work
- You are expected to be hands on and write code on day to day basis and also mentor other team members


Job Category: Software Development
Job Type: Full Time
Job Location: Bangalore
Gnani.ai aims to empower enterprises with AI based speech technology.
Gnani.ai is an AI-based Speech Recognition and NLP Startup that is working on voice-based solutions for large businesses. AI is the biggest innovation that is disrupting the market and we are at the heart of this disruption. Funded by one of the largest global conglomerates in the world, and backed a number of market leaders in the tech industry,
We are working with some of the largest companies in the banking, insurance, e-commerce and financial services sectors and we are not slowing down. With aggressive expansion plans, Gnani.ai aims to be the leader in the global market for voice-based solutions.
Gnani.ai is building the future for voice-based business solutions. If you are fascinated by AI and would like to work on the latest AI technologies in a high-intense, fast-growing and flexible work environment with immense growth opportunities, come and join us. We are looking for hard workers, who are ready to take on big challenges.
NLP Software Developer
Gnani.ai is looking to hire software developers with 0 to 2+ Years of experience, with a keen interest in designing and developing chat and voice bots. We are looking for an Engineer who can work with us in developing an NLP framework if you have the below skill set
Requirements :
- Proficient knowledge of Python
- Proficient understanding of code versioning tools, such as Git / SVN.
- Good knowledge of algorithms to find and implement tools for NLP tasks
- Knowledge of NLP libraries and frameworks
- Understanding of text representation techniques, algorithms, statistics
- Syntactic & Semantic Parsing
- Knowledge/work experience on No-SQL database Mongo.
- Good knowledge of Docker container technologies.
- Strong communication skills
Responsibilities :
- Develop NLP systems according to requirements
- Maintain NLP libraries and frameworks
- Design and develop natural language processing systems
- Define appropriate datasets for language learning
- Use effective text representations to transform natural language into useful features
- Train the developed model and run evaluation experiments
- Find and implement the right algorithms and tools for NLP tasks
- Perform statistical analysis of results and refine models
- Constantly keep up to date with the field of machine learning
- Implement changes as needed and analyze bugs
Good To Have :
Start up experience is a plus

- Developing chatbots and voice assistants on various platforms for diverse business use-cases
- Work on a chatbot framework/architecture using an open-source tool or library
- Implement Natural Language Processing (NLP) for chatbots
- Integration of chatbots with Management Dashboards and CRMs
- Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process
- Deploy applications using CI/CD tools
- Designing and building highly scalable AI and ML solutions
- Ability to understand business requirements and translate them into technical requirements
- Open-minded, flexible, and willing to adapt to changing situations
- Ability to work independently as well as on a team and learn from colleagues
- High adaptability in a dynamic start-up environment.
- Experience with bot multi-lingual utilization (preferred)
- Experience with bot human escalation
- Ability to optimize applications for maximum speed and scalability
- Come up with new approaches and ideas to improve the current performance of Chatbots across multiple domains and build a highly personalized user experience.
QUALIFICATIONS : B. Tech/ B.E. /M. Tech or a related technical discipline from reputed universities
SKILLS REQUIRED :
- Minimum 3+ years- of experience in Chatbot Development using the Rasa open-source framework.
- Hands-on experience building and deploying chatbots.
- Experience in Conversational AI platforms for enterprises using ML and Deep Learning.
- Experience with both text to speech and vice versa transformation incorporation.
- Should have a good understanding of various Chatbot frameworks/platforms/libraries.
- Build and evolve/train the NLP platform from natural language text data being gathered from users on a daily basis.
- Code using primarily Python.
- Experience with bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc.
- Knowledge of digital assistants such as Amazon Alexa, Google Assistant, etc.
- Experience 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 - NLP Skills/Tools: NLP, HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, Core NLP, NLU, NLG, etc.
- Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context.
- Knowledge of SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL
- Experience with working on public cloud services such as Digital Ocean, AWS, Azure, or GCP.
- Knowledge of Linux shell commands.
- Integration with Chat/Social software like Facebook Messenger, Twitter, SMS.
- Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho, etc.
MUST HAVE :
- Strong foundation in the python programming language.
- Experience with various chatbot frameworks especially Rasa and Dialogflow.
- Strong understanding of other AI tools and applications like TensorFlow, Spacy, and Google Cloud ML is a BIG plus.
- Experience with RESTful services.
- Good understanding of HTTPS and Enterprise security.


Job Type: Full-time
CTC Offering : 3.6L PA to 6L PA
Job Location: Remote for 6-9 months due to the pandemic, then Mumbai, Maharashtra
Required experience:
-
Minimum 1.5 to 2 year of experience in Web & Backend Development using Python with experience in some form of Machine Learning ML Algorithms
Overview
We are looking for Python developers with a strong understanding of object orientation and experience in web and backend development. Experience with Analytical algorithms and mathematical calculations using libraries such as Numpy and Pandas are a must. Experience in some form of Machine Learning. We require candidates who have working experience using Django Framework
Key Skills required (Items in Bold are mandatory keywords) :
1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Experience with some form of Machine Learning (ML)
4. Experience in using libraries such as Numpy and Pandas
5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar
6. Hands on experience with RDBMS such as Postgres or MySQL
7. Experience building REST APIs using DRF or Flask
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku
KRAs includes:
1. Understanding the scope of work
2. Understanding and adopting the current internal development workflow and processes
3. Understanding client requirements as communicated by the project manager
4. Arriving on timelines for projects, either independently or as a part of a team
5. Executing projects either independently or as a part of a team
6. Developing products and projects using Python
7. Writing code to collect and mathematically analyse large volumes of data.
8. Creating backend modules in Python by building or reutilizing existing modules in a manner so as to
provide optimal deliveries on time
9. Writing Scalable, maintainable code
10. Building secured REST APIs
11. Setting up batch task processing environments using Celery
12. Unit testing prepared modules
13. Bug fixing issues as reported by the QA team
14. Optimization and performance tuning of code
Bonus but not mandatory
1. Nodejs
2. Redis
3. PHP
4. CI/CD
5. AWS
- You will be responsible for design, development and testing of Products
- Contributing in all phases of the development lifecycle
- Writing well designed, testable, efficient code
- Ensure designs are in compliance with specifications
- Prepare and produce releases of software components
- Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
- Some of the technologies you will be working on: Core Java, Solr, Hadoop, Spark, Elastic search, Clustering, Text Mining, NLP, Mahout and Lucene etc.








