Selected intern's day-to-day responsibilities include
Build and optimize NLP/LLM pipelines for our conversational AI and astrologer-chat features (OpenAI, Hugging Face, DeepSeek, and similar), including prompt engineering, retrieval, and response quality tuning.
Develop recommendation systems that personalize content and services based on user behavior, preferences, and birth-chart (astrology) data.
Build predictive and forecasting models for life-event and horoscope use cases using historical user and astrology datasets.
Run experiments and apply research-backed techniques (fine-tuning, RAG, evaluation frameworks) to continuously improve model accuracy and latency.
Deploy, host, monitor, and scale AI models on cloud or custom servers owning the pipeline end to end (inference, cost optimization, uptime).
Work closely with developers and domain experts (astrologers, psychologists) to refine outputs and ensure they're accurate, responsible, and on-brand.
Skill(s) required
Amazon Web Services (AWS) Artificial intelligence Natural Language Processing (NLP)
Who can apply
Only those candidates can apply who
are available for the work from home job/internship
can start the work from home job/internship between 29th Jun'26 and 3rd Aug'26
are available for duration of 3 months
have relevant skills and interests
Other requirements
Solid understanding of Python and ML libraries (NumPy, pandas, scikit-learn).
Don't want to miss the next one?
Subscribe to daily email alerts for roles matching your interests.
Hands-on experience or strong interest in deep learning frameworks (TensorFlow, PyTorch).
Familiarity with NLP tools and APIs – Hugging Face Transformers, OpenAI, spaCy, etc.
-Knowledge of REST APIs and how to deploy ML models on cloud servers or with Docker.
-Ability to read and implement academic research papers into real-world code.
Good to Have:
-Experience working with LLMs (GPT, BERT, LLaMA, etc.).
-Knowledge of chatbot frameworks like Rasa or LangChain.
-Exposure to recommendation algorithms (collaborative filtering, content-based, hybrid).
-Experience with MLOps tools (like MLflow, FastAPI, Kubernetes) is a plus.
-A research mindset with the ability to explore, iterate, and test innovative ideas.
Perks
Certificate Letter of recommendation Flexible work hours Job offer
Additional information
Job offer: On successful conversion to a permanent employee, the candidate can expect a salary of ₹ 360000 to 400000/year
Number of openings
2
About Vedaz
Kolkata
Vedaz is the world's smartest astrology platform that helps predict the future. The AI-based tool analyses millions of predictions of top astrologers from India and the world and fine-tunes its results to give personalized recommendations to users. These recommendations are in the form of charts and suggestions for a better life, and pujas to be conducted for the holistic well-being of the individuals.