Data Scientist

Gen AI + Python with ML Fresher :-

Job Summary:

freshers or recent graduates

Key Responsibilities:

• Learn and apply 

  Generative AI concepts

   like text generation, embeddings, image generation, prompt engineering, etc.
• Assist in building, testing, and fine-tuning 

  LLMs (e.g., GPT, BERT, LLaMA)

   using Python.
• Write efficient Python code for ML pipelines, model training, and evaluation.
• Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).
• Support the development of AI-powered applications using frameworks like 

  LangChain

  , 

  Hugging Face

  , or 

  OpenAI APIs

  .
• Document model behavior, limitations, and performance metrics.
• Collaborate in R&D projects to explore and experiment with new GenAI capabilities.

Required Skills & Qualifications:

• Bachelor’s degree in 

  Computer Science, AI, Data Science, Engineering, or related fields

  .
• Solid understanding of 

  Python programming

   and basic data structures.
• Familiarity with 

  machine learning algorithms

   (e.g., regression, classification, clustering).
• Exposure to data science libraries: 

  NumPy, Pandas, Scikit-learn, Matplotlib

  .
• Interest in 

  Generative AI

  , 

  LLMs

  , and 

  transformer-based architectures

  .
• Strong problem-solving attitude and willingness to learn rapidly.

Preferred (Not Mandatory):

• Projects or coursework involving 

  ChatGPT, DALL·E, BERT, GPT-3/4

  , etc.
• Knowledge of 

  NLP

  , 

  Deep Learning (TensorFlow/Keras/PyTorch)

  .
• Experience with APIs like 

  OpenAI, Hugging Face Transformers, Cohere

  , etc.
• Familiarity with tools such as Jupyter Notebooks, GitHub, VS Code.
• Understanding of prompt engineering and tokenization.