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Job Title : Python & Angular Developer (Contract)
Location : Remote
Duration : 3 to 6 months
Experience : 3+ Years
Job Summary :
We are looking for skilled Python & Angular Developers with NLP experience preferred to join our team on a contract basis. The ideal candidates will develop scalable applications while collaborating with cross-functional teams.
Key Responsibilities :
- Develop and optimize applications using Python and Angular.
- Work on NLP-related tasks (preferred).
- Ensure performance, security, and scalability.
- Collaborate in an Agile environment.
Requirements :
- 3+ Years of experience in Python & Angular.
- NLP experience is a plus.
- Strong problem-solving and debugging skills.
- Ability to work independently in a remote setup.


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



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!

- 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.

6-8 yrs experience
Fully Remote position
Max compensation - 45 LPA per annum (Full in hand)
Key Responsibilities
- Design, implement and maintain software to the demanding standards of a real time, highly concurrent distributed system.
- Working in conjunction with the rest of the development team, you will architect and build highly performant, scalable and extensible external APIs
- Collaborate with customers and internal stakeholders, at all levels, to continuously improve our product in a measured data-driven approach
- Learn quickly, adapt, and invent based on changing company needs and priorities
- Contribute to code reviews, tech talks, innovation drives and patents
Minimum Qualifications
- Excellent problem solving skills
- Bachelors in a computer science or other equivalent field
- Proficiency in deploying production systems using a major programming language like Java, Python, NodeJS or similar
- Excellent command over object oriented design and system design
- Experience building distributed systems and scaling them with high availability
- Ability to exercise autonomy rather than needing detailed direction and proactively get things done
Preferred Qualifications
- Experience in customer facing software development
- Proficiency building unit and performance tests to ensure reliability and scalability
- Experience in Artificial Intelligence, Machine Learning (ML) models, Natural Language Processing or Deep Learning is a plus
- Experience with cloud infrastructure such as AWS, GCP is a plus
Why work with us
- A small collaborative and excited team
- We value autonomy, allowing you to choose the configuration that makes you most productive
- Able to work remotely anywhere in Indian Standard Time
- Continuous learning and up-skill opportunities
- We love ideas, innovation and experiments!
- Competitive salary


- 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.

