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We're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!
Make Sure before Applying (GitHub Profile Required):
1. Your GitHub must include:
- At least one substantial ML/DL project with documented results
- Code demonstrating PyTorch/TensorFlow implementation skills
- Clear documentation and experiment tracking
- Bonus: Contributions to ML open-source projects
2. Pin your best projects that showcase:
- LLM fine-tuning and evaluation
- Data preprocessing pipelines
- Model training and optimization
- Practical applications of AI/ML
Technical Requirements:
- Solid understanding of deep learning fundamentals
- Python + PyTorch/TensorFlow expertise
- Experience with Hugging Face transformers
- Hands-on with large dataset processing
- NLP/Computer Vision project experience
Education:
- Completed/Pursuing Bachelor's in Computer Science or related field
- Strong foundation in ML theory and practice
Apply if:
- You have done projects using GenAI, Machine Learning, Deep Learning.
- You must have strong Python coding experience.
- Someone who is available immediately to start with us in the office(Hyderabad).
- Someone who has the hunger to learn something new always and aims to step up at a high pace.
We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!


https://www.ynos.in/" target="_blank">YNOS is a next-generation funded startup founded by IIT Madras faculty and incubated at IIT Madras Incubation Cell. It is a digital platform for Entrepreneurs, Investors, Innovators and Eco-system enablers, providing actionable insights on the startup and investment landscape in India. We are passionate about solving tough problems using technology and data, making a difference
The Opening
We are presently seeking for our next enthusiastic, talented, and driven Python Backend Engineer to start right away. We'd want you to
- Be excited about building a next-generation intelligence platform
- Possess a can-do attitude and be open to new challenges
- Value working with a great team - self-assured, creative, and insightful individuals who work together to achieve amazing things
- Be willing to explore, learn, and contribute new ideas to the platform, thereby improving it
- Be high on self-belief and enthusiasm to work in a startup culture - small team, fast-paced work environment
If this is you, we'd love to hear from you!
As the Python Backend Engineer in https://www.ynos.in/" target="_blank">YNOS, you will
- Create reusable optimised code and libraries
- Deploy task management systems and automate routine tasks
- Build performant apps that adhere to the best practices, therefore increasing latency, performance, and scalability
- Improve the existing codebase while reducing technical debt
- Take charge of all elements of the application, including architecture, quality, and efficiency
Requirements
- Proficient understanding of Python language
- Expertise in developing web apps and APIs using Python frameworks like Flask with an overall grasp of client-server interactions
- Familiarity with task management systems and process automation
- Comfortable with using Command Line and Linux systems
- Experience and understanding of version control systems like git, svn, etc
- Knowledge of NoSQL databases such as MongoDB
Good to have
- Expertise in other backend frameworks viz. Django, NodeJS, Go, Rust etc
- Knowledge of data-modelling, data-wrangling & data-mining techniques
- Experience with data visualisation tools & libraries such as Plotly, Seaborn etc
- Exposure to Statistical and Machine Learning (ML) techniques, particularly in the field of Natural Language Processing (NLP)
- Familiarity with front-end tools & frameworks such as HTML, CSS, JS, React, Vue, and others
Work location, Job type & Salary
- Our office is located at https://respark.iitm.ac.in/" target="_blank">IIT Madras Research Park, Chennai, Tamil Nadu, surrounded by the beautiful IITM Campus!
- This is a full-time position and we’d like you to relocate to Chennai
- Expected salary range ₹6L - ₹8L per annum


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.


- 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.



Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.
KEY RESPONSIBILITIES OF THE POSITION :
- Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
- Solid understanding and experience of deep learning architectures and algorithms
- Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
- Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
- Should have experience of 2-3 production implementations of machine learning projects.
- Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
- Work with business analysts/consultants and other necessary teams to create a strong solution
- Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
- Should developing solutions using python in AI/ML projects
- Should be able to train and build a team of technical developers
- Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
- Desired to have knowledge on any of the cloud solutions such as Azure or AWS
- Desired to have knowledge on any of container technology such as Docker
- Should be able to build strong relationships with project stakeholders
Keywords:
- Python
- Artificial Intelligence
- Machine Learning
- AWS
- Django
- NLP




1. Ability to read the documentation and perform 3rd party API integrations
2. Experience with Postgres and Redis
3. Experience with AWS - EC2, RDS, DynamoDB, etc
4. Experience with Python
Dashboard
Skills
1. Experience with Django
a. Django Web
b. Django REST
c. Django Channels
d. Django Celery (Queues and Brokers)
2. Experience creating a dashboard with login, user profiles, roles and permissions, reports
3. Experience with Facebook and Twitter OAuth
4. Experience with handling database migrations
Chatbot
Skills
1. Basic understanding of NLP - intents and entities
2. Strong understanding of dialogue management and conversation flow
3. Integrations with Facebook and Twitter APIs.
4. Creating and managing Facebook and Twitter apps
5. Understanding of webhooks and REST APIs.




