Senior Data Scientist @ Data Economy

Responsibilities:

• Design, develop, and deploy ML/NLP solutions using Python and state-of-the-art AI frameworks.
  
• Apply LLMs and Generative AI techniques to solve real-world problems.
  
• Build, train, fine-tune, and evaluate models for NLP and GenAI tasks.
  
• Collaborate with data engineers, MLOps, and product teams to operationalize models.
  
• Contribute to the development of scalable AI services and applications.
  
• Analyze large datasets to extract insights and support model development.
  
• Maintain clean, modular, and version-controlled code using Git.
  
  
  
  Requirements

  Must-Have Skills:
  

  • 310 years of hands-on experience with Python for data science and ML applications.
    
  • Strong expertise in Machine Learning algorithms and model development.
    
  • Proficient in Natural Language Processing (NLP) and text analytics.
    
  • Experience with Large Language Models (LLMs) and Generative AI frameworks (e.g., LangChain, Hugging Face Transformers).
    
  • Familiarity with model deployment and real-world application integration.
    
  • Experience with version control systems like Git .
    

    Good to Have:
    

    • Experience with PySpark for distributed data processing.
      
    • Exposure to MLOps practices and model lifecycle management.
      
    • Familiarity with cloud platforms such as AWS, GCP, or Azure.
      
    • Knowledge of vector databases (e.g., FAISS, Pinecone) and embeddings.

      Educational Qualification:
      

      • Bacheloror Masterdegree in Computer Science, Data Science, Statistics, or a related field.
        
        
        

        
        
        Benefits

        • Work with cutting-edge technologies in a collaborative and forward-thinking environment.
          
        • Opportunities for continuous learning, skill development, and career growth.
          
        • Exposure to high-impact projects in AI and data science.
          
          
          
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