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We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.
Duration: 6 months
Perks:
- Hands-on experience with real AI projects.
- Mentoring from industry experts.
- A collaborative, innovative and flexible work environment
After completion of the internship period, there is a chance to get a full-time opportunity as AI/ML engineer (Up to 12 LPA).
Compensation:
- Joining Bonus: A one-time bonus of INR 2,500 will be awarded upon joining.
- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.
Key Responsibilities
- Experience working with python, LLM, Deep Learning, NLP, etc..
- Utilize GitHub for version control, including pushing and pulling code updates.
- Work with Hugging Face and OpenAI platforms for deploying models and exploring open-source AI models.
- Engage in prompt engineering and the fine-tuning process of AI models.
Requirements
- Proficiency in Python programming.
- Experience with GitHub and version control workflows.
- Familiarity with AI platforms such as Hugging Face and OpenAI.
- Understanding of prompt engineering and model fine-tuning.
- Excellent problem-solving abilities and a keen interest in AI technology.
To Apply Click below link and submit the Assignment

Key Responsibilities
- Experience working with python, LLM, Deep Learning, NLP, etc..
- Utilize GitHub for version control, including pushing and pulling code updates.
- Work with Hugging Face and OpenAI platforms for deploying models and exploring open-source AI models.
- Engage in prompt engineering and the fine-tuning process of AI models.
Requirements
- Proficiency in Python programming.
- Experience with GitHub and version control workflows.
- Familiarity with AI platforms such as Hugging Face and OpenAI.
- Understanding of prompt engineering and model fine-tuning.
- Excellent problem-solving abilities and a keen interest in AI technology.
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.

- 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
- 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.




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.


